Geoffrey Hinton is a pioneer in artificial intelligence, known for his contributions to deep learning.

He is a British-Canadian cognitive psychologist and computer science specialist innovating AI.

Hinton pioneered neural networks research, enabling deep learning and AI systems like ChatGPT and Google's Bard.

He proposed backpropagation in the 1980s and later developed neural networks.

Hinton co-founded DNNresearch, which Google acquired in 2013, and then worked at Google.

He received the 2018 Turing Award for contributions to deep learning and neural networks.

Hinton resigned from Google to freely speak about the dangers of unregulated AI development.

He believes AI could pose a threat to society if not carefully managed.

Hinton is concerned about AI's potential to spread misinformation and displace human jobs.

Experts have responded to Hinton's concerns, with some calling for a moratorium on AI research and others disagreeing.

The public should consider the potential risks and benefits of AI development to ensure it benefits society.

Hinton's warnings emphasize the need for careful control and development of AI, guided by safety, transparency, and accountability.

Global initiatives and AI Safety Institutes are developing standards and techniques for AI safety and security.

The European Union introduced the "Artificial Intelligence Act" to regulate AI development.

The EU AI Act establishes a risk-based approach, prohibits unacceptable AI applications, and requires conformity assessments for high-risk AI systems.

Other countries, including the US, UK, Canada, South Korea, and Japan, have also adopted AI regulations.

300 million jobs are threatened by artificial intelligence, and 47% of US jobs are threatened by automation.

Governments must support workers affected by automation through education and training, and policies and laws must ensure fair AI benefits distribution.

Geoffrey Hinton is a pioneer in artificial intelligence, known for his contributions to deep learning.

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12 / 05 / 2023
The White House ordered AI to be evaluated, and the European Union proposed legislation to regulate AI, teach AI to be human or the best solution!
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Fang Zhanze
When I was a teenager, I studied Geographic Information System, but unfortunately I didn ’ t learn anything and I graduated with luck.
After adulthood, the accidental hit into the media circle, first and then in the print, electronic, online media to roll, slightly small.
After middle age, he completed a master ’ s degree in information technology and gradually expanded his horizons. He was determined to join a start-up company and explore different fields of technology.
In recent years, he has been actively engaged in data analysis and digital strategies, and has also been involved in the development of Location Intelligence projects. Sometimes, he can also take time to teach, not only to share what he has learned with others, but also to motivate himself to keep learning for life.
Tales of Wisdom City
Generative AI is definitely the hottest topic in the technology world today. After the popularity of ChatGPT, many companies rushed to launch similar products and gradually applied them to various industries.
But more and more people are worried that when AI is fully popularized, it will aggravate the problem of fake information flow, online fraud and other problems; even Sheffield Hinton, who is known as the "godfather of AI", is worried that AI will become too smart, afraid that it will evolve into a killer robot, which may eventually lead to the death of mankind!
How big can the negative impact of AI technology be?
How do governments around the world respond to the potential threat of AI?
Neural network is the foundation technology of ChatGPT
Fifty-one years ago, Geoffrey Hinton, who had not yet been called the “godfather of AI, ” entered the University of Edinburgh in Scotland as a graduate student and began research on artificial neural networks.
The so-called “artificial neural network ” is a mathematical model that mimics the structure and function of biological neural networks, especially the brain, and is able to learn skills by analyzing data.
This is the foundational technology behind OpenAI ChatGPT and Google Bard.
After Hinton resigned from Google, he did not have to worry about the harm his words would bring to Google, so he was interviewed by different media and said his heart: "AI may lead to the death of mankind." (Photo: University of Toronto official website)
In 2012, Hinton and his students, Ilya Sutskever and Alex Krishevsky, created a neural network system that analyzes thousands of photos and learns to recognize common things like flowers, dogs, cars, etc.
Subsequently, Hinton and two students founded DNNresearch, a startup based on this research project.
In 2013, Google acquired DNNresearch for US $44 million (approximately HK $343 million), and Hinton joined Google as Vice President and Engineering Researcher, responsible for some of the research work on Google Brain.
His protégé, Suzkville, left Google to co-found OpenAI with like-minded people, and became chief scientist, leading the research team to successfully develop the GPT model and ChatGPT.
Hinton ’ s top student, Suzkville, gave up his lucrative job at Google in 2015 to co-found OpenAI with Altman and others, and led the development of GPT and DALL-E models. (Image: University of Toronto website)
I regret working my whole life because I am worried about the dangers of AI.
In 2018, Hinton, along with University of Montreal professor Yoshua Bengio and Meta chief AI scientist Yann LeCun, won the A.M. Turing Award in recognition of their great contributions to neural networks and deep learning.
As a result, the three later became known as the “godfathers of AI ” or“ godfathers of deep learning. ”
Around the same time, Google and OpenAI began to build large-scale deep learning systems based on neural networks, which became the basis for future development of Bard and ChatGPT.
From this, it seems that Sinton plays an important role in creating the current glory of generative AI.
However, in the current era of AI, Sinton suddenly left Google in April 2023, shocking the entire AI industry.
Hinton explained that he left Google to talk freely about the potential risks of AI without harming Google.
Speaking about 50 years of research into neural networks, he said, “I ’ m very sorry about my life ’ s work. ”
The Internet will be filled with more and more fake AI-generated text, photos, and even videos, but the average person will not be able to tell the truth, Hinton said.
Moreover, sooner or later, AI technology will completely disrupt the job market, causing more and more jobs to disappear.
What is even more worrying is that at present, users can not only instruct ChatGPT to generate code, but also ask the AI to execute the code; in this way, the AI killer robots that often appear in science fiction movies will one day become a reality.
Is it not impossible for AI to destroy humanity?
Of course, this pessimistic future scenario is only a hypothetical one, but Hinton stressed that what could lead to it is already happening: a global race for AI technology has begun between Microsoft and Google, and even between China and the United States.
Most people think that the future of AI dominating everything is still far away, but he believes that AI may not take 30 to 50 years to control humans, and even find a way to kill humans, which may eventually lead to human extinction.
In the 1980s, Hinton was a professor of computer science at Carnegie Mellon University in the United States, but because he was not satisfied that the university's AI research was sponsored by the United States Department of Defense, he decided to leave the United States to teach at the University of Toronto's School of Computer Science.
He pointed out that without some kind of global regulatory agreement or regulatory mechanism, the AI arms race will intensify.
For this reason, Hinton believes that the threat posed by AI to humans may be more urgent than climate change, because the solution to climate change is obvious, as long as carbon emissions are reduced or carbon neutrality is achieved, but the current AI crisis does not know how to start. Although AI may pose an existential threat to humans, he does not agree to suspend AI research, because it can never erase the benefits and application value of AI.
Hinton believes it would be better to step up regulation of AI and make everyone aware of its potential harms.
OpenAI co-founder and CEO Sam Altman also acknowledged that ChatGPT has developed some reasoning capabilities that they can ’ t explain, and that it ’ s not entirely impossible for AI to destroy humans.
However, he said that he has installed a kill switch for ChatGPT, and if the development of ChatGPT exceeds human expectations, he will immediately press the switch to stop working.
OpenAI CEO Altman, known as the “father of ChatGPT, ” recently said he was“ a little scared ” about the potential of his children, and even admitted that there is a real possibility that AI will destroy humanity. (Image: Wikipedia)
Altman admits that ChatGPT ’ s influence in elections and the spread of disinformation is a concern, so the 2024 U.S. presidential election will be a focus for OpenAI.
(Image source: Pexels Gallery website)
The Curtain of Ignorance Makes AI Right Values
However, before we press the switch, we can try to instill the right values in AI, such as helping those most in need, not destroying humans. Google ’ s DeepMind paper published in April 2023 in the Proceedings of the National Academy of Sciences suggests that AI can be taught from the perspective of political philosopher John Rawls.
Rawls has proposed a concept called “The Veil of Ignorance ”, which aims to achieve the most equitable distribution of benefits when group decisions are made.
According to his book, The Debate, if a group of people stand behind a curtain, all of them will instantly lose their memory, become ignorant, and forget their identity and status in the real world.
The political philosopher Ross assumes that people are behind the “curtain of ignorance ” (left) and have no idea of their skills, identities, and status.
In this scenario, people tend to choose the most equitable distribution of rights for all. (Image: Wikipedia)
At this time, these people are asked to vote for a working principle for the society.
Because they do not know where they are in this society, they cannot make decisions in an egoistic way, and they can only judge according to the principle of fairness to all people.
The situation is like, at the birthday party, you are responsible for cutting the cake, because you do not know which piece you will get, so you will try to cut each piece to the same size.
Under the curtain of ignorance, fairness and justice that has nothing to do with personal interests will emerge.
For this reason, DeepMind believes that applying the “curtain of ignorance ” to AI training may help promote fairness in the process of“ aligning ” AI with human values.
By “alignment ”, it means aligning AI ’ s wishes with those of humanity.
If AI shares fair values with humans, AI will not have the intention to destroy humanity.
White House convenes tech giants to discuss AI threats
However, even if AI does not intend to destroy humans, it may still have many negative effects on human society.
The Center for Artificial Intelligence and Digital Policy (CAIDP), a U.S. technology ethics organization, has complained to the Federal Trade Commission (FTC) that OpenAI ’ s latest large language model, GPT-4, is biased and deceptive and poses a risk to privacy and public safety.
The CAIDP lists potential threats that may arise from GPT-4, including: helping hackers churn out malicious code to exacerbate cyberattacks; and biased AI training data that may reinforce social stereotypes and make people of all races and genders vulnerable to unfair treatment. The FTC is investigating OpenAI, said FTC Chairman Lina Khan. "They cannot be separated from existing legislation and the Federal Trade Commission will actively enforce them," he said.
In an effort to make GPT-4 more secure, OpenAI hired 50 experts and academics to test GPT-4 against lies, language manipulation, and dangerous scientific common sense.
The OpenAI headquarters is pictured here. (Image: Wikipedia)
In early May 2023, the White House invited Google CEO Sundar Pichai, Microsoft CEO Satya Nadella, OpenAI founder Altman, and artificial intelligence startup Anthropic founder Dario Amodei to attend a conference to discuss the impact of AI on society.
Government officials at the meeting included Vice President Kamala Harris, Biden Chief of Staff Jeff Zients, National Security Adviser Jake Sullivan, National Economic Council Chairman Lael Brainard, and Commerce Secretary Gina Raimondo.
U.S. President Joe Biden also attended the meeting.
EU to pass world ’ s first AI regulatory law
Generative AI, while helping to improve lives, can also pose security, privacy and fraud issues, says Ms Ho.
She noted that AI companies have an ethical and legal responsibility to ensure the safety of their AI products, while at the same time working with governments to protect civil rights and privacy.
She stressed that the White House will work to advance potential new legislation and support new legislation to mitigate the potential harms of AI technology.
In contrast, Europe has taken a step ahead in AI legislation.
On 11 May 2023, the European Parliament ’ s Committee on Civil Liberties and Consumer Protection overwhelmingly approved a position paper calling for restrictions on the use of AI in Europe, a crucial first step towards the adoption of the world ’ s first AI regulation bill.
The draft bill will be submitted to the full European Parliament for a vote in June of the same year, after which representatives of the European Parliament, the Council of the European Union and the European Commission will work out the final terms of the bill in tripartite talks.
The European Parliament has adopted a position paper that strengthens restrictions on biometrics, facial recognition, and the use of AI by police in routine duties.
The parliament believes the move could lead to the world ’ s first AI regulation bill. (Image: Wikipedia)
On the other hand, the White House announced that Google, Microsoft, OpenAI, NVIDIA, Stability AI, Anthropic, and Hugging Face have all committed to participating in DEF CON 31, a computer security conference to be held in August 2023, so that their AI models will be tested and evaluated by hackers and AI experts.
Experts will try to identify errors, failures, and vulnerabilities in AI tools so that AI companies can solve existing problems in their models early on.
However, these AI companies simply agree to a one-time test, rather than a commitment to a continuous evaluation when launching or improving their products, and may therefore not be sufficient to meet the regulatory requirements.
Despite this, DEF CON 31 is still seen as the first step for an AI model to be publicly evaluated.
We hope that after each important first step in legislative regulation and public evaluation, we can put generative AI trains on the right track, so that everyone can safely benefit from technological innovation.
DEF CON is one of the largest computer security conferences in the world. In addition to cybersecurity experts and hackers, participants included staff from the FBI, the Department of Defense, and the Postal Inspection Service.
The conference covered areas such as software security, computer architecture, hardware modifications, and other vulnerable areas of information. (Image: DEF CON official website)
The content of the signed and / or unsigned articles published by Economic Times is the author's personal opinion and does not represent the position of Economic Times, and the role of Economic Times is to provide a free speech platform.
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Content: Geoffrey Hinton: GPT-4 is 100 times more knowledgeable than any human
Author: MIAO Yongqi
Published: Updated:
Computer scientist Geoffrey Hinton, known as the "godfather of artificial intelligence", announced Monday that he has resigned from Google. He has devoted his life to developing artificial intelligence systems, saying he "regrets his life's work" and is wary of the potential dangers of AI development.
In another recent interview, Hinton further talked about why he is afraid of AI development.
Hinton, 75, left Google a few days after the news broke in an interview with MIT Technology Review senior editor Will Douglas Heaven.
Hinton points out that the new generation of AI language models, especially the GPT-4, which came out in March, made him realize that these machines were moving in a direction that was much smarter than he thought, and he was afraid of these developments.
He is best known for a technique he proposed in the 1980s (with two colleagues) called backpropagation.
In short, the algorithms that allow machines to learn support almost all of today ’ s artificial neural networks, from computer vision systems to large language models.
It wasn ’ t until the 2010s that Hinton and his two recent graduates developed a “neural network ” that demonstrated its power, stronger than any computer ’ s ability to identify objects in images, and trained it to predict the next letter of a sentence, a precursor to today ’ s large-scale language patterns.
One of the students was Ilya Sutskever, the founder of OpenAI, who led the development of ChatGPT.
“We first thought it might be great. ”“ But it ’ s going to take a long time to realize that it needs to be done on a large scale to get good results. ”
In the 1980s, the discussion of “neural networks ” was considered a joke.
But Hinton doesn ’ t think so, and is working on this, software that mimics the abstract human brain and uses code as a connection between neurons. For 40 years, Hinton has viewed artificial neural networks as a clumsy attempt to mimic biological neural networks.
Now he thinks things have changed: he thinks there are better results when trying to mimic the behavior of the biological brain.
“It ’ s scary when you see it with your own eyes, ” he said.“ It ’ s a sudden change. ”
So why did ChatGPT surprise Hinton, too? He explained that the human brain has about 100 trillion connections, and “large language models have up to 500 billion, up to a trillion. ”
However, the knowledge of GPT-4 is a hundred times greater than that of any human.
So maybe it actually has a better learning algorithm than we do. "
He also pointed out that apart from the ability to learn, the ability to communicate is another kind of point.
“If you or I learn a new thing and want to teach it to another person, we can ’ t just send them a copy. ”
But artificial neural networks can do it.
It ’ s like there are 10,000 people here, and when one person learns a new thing, the other 9,999 people all learn it at the same time.
Hinton now believes that there are two types of intelligence: animal brains and artificial neural networks.
“It ’ s a completely different kind of intelligence.
“A new, better intelligence. ” Hinton believes that whether superintelligence is good or bad depends largely on whether you ’ re an optimist or a pessimist, and he says,“ mildly depressed, ” “that ’ s why I ’ m afraid. ”
“Whether these things are going to be smarter than us, I suddenly changed my mind. ”
I think they are very close to us now and they will be much smarter than us in the future, ” he said.
“How do we survive? ” he is particularly worried that people will use the tools he has developed to change the trajectory of human life, including elections and wars.
He said that he hopes to continue talking about AI security after leaving office and spend more time on “more philosophical work ”.“ As long as I ’ m still employed at Google, I can ’ t say what I want to say, ” he said. “I have a lot of good things to say about Google, and it would be more convincing if I wasn ’ t at Google. ”
Who is the godfather of AI computer scientist Geoffrey Hinton?
Hinton pioneered the basic technology of AI systems and became interested in artificial neural networks when he was a graduate student at the University of Edinburgh in 1972. In 2018, he and two experts in the field of deep learning were awarded the Turing Award, known as the “Nobel Prize in Computing ”.
What are the main concerns of “AI Godfather ” Geoffrey Hinton about the development of artificial intelligence?
He believes that the most direct impact is to promote the dissemination of false information and the loss of employment opportunities, and also worries about the use of this tool for evil, such as influencing elections and using it in war.

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Content: AI ’ s “godfather ” interviewed by the BBC, warning that artificial intelligence may be smarter than humans
AI ’ s “godfather ” interviewed by the BBC, warning that artificial intelligence may be smarter than humans
Geoffrey Hinton, known as the “godfather ” of artificial intelligence (AI), has resigned from Google.
He warned that developments in the field of artificial intelligence pose increasing dangers.
In a statement to The New York Times, Dr. Hinton said he regretted his current job.
Dr. Hinton ’ s pioneering research in neural networks and deep learning paves the way for current AI systems such as Google ’ s Bard chatbot and Microsoft ’ s ChatGPT.
The cognitive psychologist and computer scientist told the BBC that chatbots may soon be smarter than humans.

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Content: Hotspot
“The Godfather of AI ” Leaves Google to Talk About AI Risks for Life (13: 25)
AI pioneer Geoffrey Hinton, known as the “godfather of AI, ” confirmed on Monday that he had left Google for 10 years last week.
He said in an interview that the current development of AI chatbots is worrying, thinking that they will soon be smarter than humans, and that Russian President Vladimir Putin "such a bad person" will use AI to do bad things.
Hinton, 75, worked part-time at Google for 10 years, helping with AI development.
He said he left Google in the hope of being free to talk about the risks of AI without regard to the impact of speech on Google, but stressed that Google has taken very responsible action.
“I comfort myself that if I don ’ t do it, there are others who do the same work. ”
He admitted that he regretted his life's work, and said that AI chatbots are very scary, so far they have not been smarter than humans, but "soon it may be."
He also worried that "some people like Putin will use AI to do bad things."
Hinton added that AI is different from human intelligence, and AI learning is like one in 10,000 people learning something, others automatically learn it, so these chatbots gain more knowledge than any human.
Another worry, he said, is that AI will take people to work for humans, and at the same time create a world where “people no longer know what is true or false. ”
(CNN / BBC)
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Proud Boys

4 Proud Boys found guilty of seditious conspiracy, latest AI warning: 5 Things podcast

Taylor Wilson
USA TODAY

On today's episode of the 5 Things podcast: Proud Boys, including leader Enrique Tarrio, guilty of seditious conspiracy for Jan. 6

Several Proud Boys have been found guilty of seditious conspiracy for the Jan. 6 Capitol attack. Plus, banking anxieties continue, USA TODAY World Affairs Correspondent Kim Hjelmgaard reports on protests over proposed reforms in Israel, an autopsy reveals Tyre Nichols was killed by blunt force trauma to the head, and USA TODAY Domestic Security Correspondent Josh Meyer looks at the latest debate around artificial intelligence.

Podcasts: True crime, in-depth interviews and more USA TODAY podcasts right here

Hit play on the player above to hear the podcast and follow along with the transcript below. This transcript was automatically generated, and then edited for clarity in its current form. There may be some differences between the audio and the text.

Taylor Wilson:

Good morning. I'm Taylor Wilson and this is 5 things you need to know Friday, the 5th of May 2023. Today, a verdict for the Proud Boys. Plus, more bank anxiety, and we hear the latest from protests in Israel.

Proud Boys leader Enrique Tarrio and three lieutenants were found guilty yesterday of entering a seditious conspiracy against the US government, leading to the January 6th, 2021 Capitol attack. A fifth Proud Boy was acquitted of the charge. Prosecutors said Tarrio was the leader of the plot, despite not being in Washington that day. His arrest two days before the insurrection on unrelated charges and the stabbing of several Proud Boys at a protest in December 2020 served as motivators to try and stop the certification of the 2020 presidential election, according to the government. Tarrio's attorneys argued that he was just the government's scapegoat. They said the true culprit of January 6th was former President Donald Trump.

PacWest Bancorp saw its shares plunge earlier this week, dropping more than 39% at one point. The bank said yesterday that it was considering asset sales and has been approached by several parties about a deal. The bank insists that it has not experienced a high number of customer withdrawals in the wake of the failure and sale of First Republic Bank after a modern day bank run. But anxiety over regional bank stability appeared to spread late this week. Comerica slumped more than 8% and TD Bank Group and First Horizon called off a planned merger citing regulatory hurdles.

Months long protests for and against proposed judicial reforms in Israel will continue this weekend, with tens of thousands expected on the streets of Tel Aviv and elsewhere. Many of the protests are accusing Prime Minister Benjamin Netanyahu's right wing coalition of using the reforms to get around the checks and balances of government, and of turning Israel into more of a religious state that could even amount to a dictatorship. Others say they just want their views reflected by a parliament they elected. I sat down with USA TODAY World Affairs Correspondent Kim Hjelmgaard, who recently traveled to Israel, to learn more. Kim, thanks for hopping on 5 Things.

Kim Hjelmgaard:

Thanks for having me.

Taylor Wilson:

Protests have erupted across Israel over these proposed judicial reforms. Some folks opposed to the reforms have said if they're enacted, Israel will not be a democracy anymore. Others even suggest the reforms would make Israel a dictatorship. What's your general perspective on that?

Kim Hjelmgaard:

My general perspective is that Israel is a pretty healthy democracy. Like all democracies, it's not perfect. Constitutional legal scholars say there is space for reform. And this is one of the things that the people who are leading these reforms are saying, look, we can't get laws passed that sort of reflect what our constituents want. The ability to, for example, have separate concerts for men and women, or we can't get laws passed that would allow us to kind of sufficiently build the infrastructure of settlements in the West Bank.

However, it's kind of problematic because if you look at something like a settlement in the West Bank, these things are not legal by international standards. They're often built on Palestinian land.

One of the things about these proposed reforms that the protestors are so angry about has to do with Prime Minister Benjamin Netanyahu. He's in the middle of a corruption case and he's on trial for it. He's suddenly taken an interest in these reforms because they kind of essentially enable him, through a majority in parliament which his government controls, to kind of get a get out of jail free card a bit. So let's say Netanyahu's convicted, there is the possibility that he can't be removed from power. So the protestors are kind of saying this is just not a healthy thing for a democracy.

Taylor Wilson:

Kim, you mentioned the international community. What is the US government's stance on these reforms and on all of the protests that have happened in recent months?

Kim Hjelmgaard:

US government, as some listeners may be aware, is Israel's biggest source of foreign military aid. The US was the first country in the world to recognize Israel as a country, and the Biden administration has expressed quite publicly, quite loudly, that it does not like the look of these reforms. It feels that they are not democratic, that they're problematic for various reasons.

Taylor Wilson:

And finally, Kim, what's next for these reform proposals and the protests in the coming months?

Kim Hjelmgaard:

Well, things have kind of been stalled since before the Passover holiday, which was last month, when essentially the Parliament went on recess. And Netanyahu, he was kind of faced with this growing escalating insurrection from the Israeli public. There was a series of kind of walkouts from different labor unions, teachers, airport workers went on strike. And they kind of reached this moment where Netanyahu was like, whoa, he needed to calm things down before all of Israeli society kind of unraveled. And so he paused it.

Parliament came back last week. The protestors are still there. The political establishment in Israel is kind of talking about how they're going to try to reach some kind of compromise on this. And nothing has really changed, and it is a kind of standoff where both sides are digging in. But over the last couple of weeks, pro-reform people have started to protest in bigger numbers. A week ago there was about 200,000 of them that showed up outside of the Knesset, which is the Israeli parliament.

So I think everyone in Israel, as far as I can tell, is kind of scratching their heads going, this is not getting any better. In fact, it's getting worse. And one of the places where it could go is another election. And Israel has had five elections since 2019, I believe it is, because they couldn't agree with each other about exactly how to move this country forward. So who knows where that would end up.

Taylor Wilson:

All right. USA TODAY World Affairs Correspondent Kim Hjelmgaard. Thanks so much.

Kim Hjelmgaard:

Thanks for having me.

Taylor Wilson:

An autopsy revealed yesterday that Tyre Nichols was killed by blunt force trauma to the head. The 29-year-old motorist died earlier this year after being brutally beaten by Memphis Police Officers. Nichols' family viewed the autopsy report this week, some four months after Tyre's death. Their attorney, Ben Crump, said the manner of death was homicide. Attorneys said the report was similar to an independent January autopsy that found Nichols suffered extensive bleeding.

♦

Artificial intelligence. No matter how you feel about it, the technology is here. That includes chatbots like ChatGPT, which recently passed a hundred million monthly active users, according to Reuters and others. I spoke with USA TODAY Domestic Security Correspondent Josh Meyer to learn more. Hi there, Josh.

Josh Meyer:

Good to be here. How are you?

Taylor Wilson:

Good, thanks. Thanks for hopping back on. Josh, the Biden White House is concerned about AI being developed by the tech sector and then unleashed on the public with little to no guardrails on how it might be used. What did they say this week?

Josh Meyer:

The Biden administration did have a meeting at the White House, led by Kamala Harris, with some of these tech leaders to talk about some of the reforms that the White House says are needed, including more transparency in the way these companies develop these technologies, giving access to the work in progress by critics and the public, just so they can weigh in on what's happening.

And also, the Biden administration last October released what they called the AI Bill of Rights. That's designed to sort of put more safeguards in place. Right now, that's just a recommendation. And so some critics that say the Biden administration hasn't gone far enough say that that needs to be mandatory, that these companies aren't going to really do much on their own, and that they're going to have to be forced to comply more and to do more in terms of protecting the safety, security, and the privacy of Americans as we go forward.

Taylor Wilson:

And there have been several prominent tech leaders warning about this recently, including the so-called godfather of AI. So Josh, who is the godfather of AI?

Josh Meyer:

The godfather of AI is a guy named Geoffrey Hinton. He's a renowned researcher, vice president at Google. He's also a Toronto professor, and he's spent the last couple of decades at the forefront of innovating and research and development into artificial intelligence and related topics, including ChatGPT.

Taylor Wilson:

And what are some of his concerns about this technology?

Josh Meyer:

He said that his concerns have mostly come about in the last few months, and one of the concerns is that it is becoming so advanced so quickly. One of the things that it's learning to do is simple reasoning. He said that he's concerned that somebody could actually take over the world and push humanity toward extinction.

He was at a seminar yesterday and one of the things that jumped out at me, and everybody else that was there, was he was asked by the panel's moderator, "What's the worst case scenario that you think is conceivable?" And without hesitation, Hinton said, "I think it's quite conceivable that humanity is just a passing phase in the evolution of intelligence."

Taylor Wilson:

Strong words, I would say. Geez.

Josh Meyer:

Yeah. And then he went on to say that even if we think that we're in control of the technology and we can just turn it off, he said it could easily be brought back to life again on another machine if given the proper instructions. And this is another quote from him at the MIT Technology Review conference yesterday. Hinton said, "And it may keep us around for a while to keep the power stations running, but after that, maybe not." So food for thought.

Taylor Wilson:

Yeah, food for thought. So do other experts agree with this pretty pessimistic outlook?

Josh Meyer:

Actually, after he said that, I wanted to find people that would take exception to it, and I talked to a lot of people. I looked around and a lot of people share his concerns. I did find some people that are a little bit more skeptical, including a longtime trusted source of mine who said, "I think that it's overstated. People need to take a step back. Take a deep breath."

I talked to a guy named Michael Hamilton, who's the co-founder of Critical Insight Risk Management. He's a former advisor to the Department of Homeland Security on tech issues. And he said that computer assisted machine learning, including artificial intelligence, will never be the kind of sentient, self-aware and all-knowing technology that people are afraid of, and that created the Terminator of movie fame. He said basically, artificial intelligence is an extremely sophisticated programming platform that can only go as far as humans allow it.

Taylor Wilson:

Josh, one concern is that AI could wipe out thousands, maybe millions of jobs by making them obsolete. What does he say on that point?

Josh Meyer:

Oh yeah, he's very concerned about that. And so is the White House, as a matter of fact, when they rolled out this new initiative. They said that's one of their biggest concerns. And they want to make sure that the developers of AI, which include Google, Microsoft, and some other companies, that they keep that in mind and make sure that there's guardrails there to prevent that kind of thing from happening.

But we do live in a capitalist economy. According to Hinton, he actually spoke very specifically about it, and he said that, we live in a world where profit comes first and the rich could get richer and the poor get poorer because of ways in which AI is used to do menial tasks that are often done by human beings at a lower range of the pay scale. He said, "It's going to cause huge increases in productivity. My worry is for those increases in productivity to put people out of work and make the rich richer and the poor poorer. And as you do that," Hinton said, "you make that gap bigger and society gets more and more violent."

Taylor Wilson:

Josh Meyer, thanks so much.

Josh Meyer:

Sure.

Taylor Wilson:

And happy Cinco de Mayo. The date marks Mexico's victory over the French empire at the Battle of Puebla in 1862.

Thanks for listening to 5 Things. We're produced by Shannon Rae Green, and our executive producer is Laura Beatty. Special thanks to Cherie Saunders and Alexis Gustin. I'm Taylor Wilson back tomorrow with another episode of 5 Things.

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Title:

Content: Beware of the nightmare of artificial intelligence.
The godfather of this software resigns from his position at Google
Conversation
The father of artificial intelligence Jeffrey Hinton [Archive] - Copyright Noah Berger / AP
By: Euronews
Hinton ’ s pioneering work on neural networks has shaped artificial intelligence systems that power many contemporary products.
He worked part-time at Google for a decade in the tech giant ’ s AI development efforts, but has since had concerns about the technology and its role in its development.
Geoffrey Hinton, who is considered the godfather of artificial intelligence, has resigned from his position at Google.
Warning about the growing risks of AI, Hinton stressed that “the downsides of this sector ’ s software like GPT are very frightening. ”
Hinton ’ s pioneering work on neural networks has shaped artificial intelligence systems that power many contemporary products.
He worked part-time at Google for a decade in the tech giant ’ s AI development efforts, but has since had concerns about the technology and its role in its development.
In a tweet on Monday, Hinton said he left Google so he could speak freely about the dangers of artificial intelligence, not because of a desire to criticize Google specifically.
Hinton tweeted: “I left so I could talk about the dangers of artificial intelligence without thinking about how this would affect Google. ”
He added: “Google has acted with great responsibility. ”
Rapid development of artificial intelligence
In an interview with the BBC, Hinton said: "At the moment, these shows are not smarter than us, but I think they may soon be."
Hinton also considered that his age played into his decision to leave the tech giant Google, saying, “I ’ m 75 years old, so it ’ s time to retire. ”
Hinton ’ s groundbreaking research paved the way for access to current AI systems and is therefore considered by many to be the founder of the sector.
In another interview with The New York Times, Hinton said that “part of me regrets ” contributing to the development of the technology.
But the British-Canadian cognitive psychologist and computer scientist told the BBC: "Right now, what we're seeing is that things like ChatGT outperform a person in the amount of general knowledge they have and outperform them a lot.
But in terms of thinking, man is ahead. ”
However, he points out that "the speed at which this software evolves makes us expect its efficiency to improve, so we have to worry about that."
In an article in The New York Times, Hinton said there were “bad actors ” trying to use AI for“ bad things. ”
"Nightmare."
When asked by the BBC to elaborate on this, he replied: “This is just some sort of worst-case scenario, it ’ s a nightmare. ”
“You can imagine, for example, that some bad actors like Russian President Vladimir Putin decided to give robots the ability to set their own targets during the war. ”
“I have come to the conclusion that the kind of information we develop is very different from the intelligence we have.
We are biological systems and these are digital systems. ”
As for how the software learns, Hinton explained that it “works separately to instantly share its knowledge, as if you have 10,000 people and whenever someone learns something, everyone knows it automatically.
And so these chatbots can know far more than any one person. ”
Henton is not the first Google employee to raise a red flag on artificial intelligence.
In July, the company fired an engineer who claimed an undisclosed AI system had become conscious, saying it violated hiring and data security policies.
Additional Topics

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

He is a British-Canadian cognitive psychologist and computer science specialist innovating AI.

Title:

Content: Artificial intelligence: Geoffrey Hinton 'godfather' of modern technology resigns from Google and warns of its danger
Jeffrey Hinton, widely regarded as the spiritual father of artificial intelligence, has resigned, warning of the growing dangers of AI development.
Hinton, 75, announced his resignation from Google in a statement to the New York Times, saying he now regrets his work.
He told the BBC that some of the dangers of smart chatbots were "very scary".
“Right now, they ’ re not as smart as we can tell.
But I think they ’ ll be soon. ”
Hinton ’ s groundbreaking research on deep learning and neural networks has paved the way for artificial intelligence systems such as ChatGT.
But British-Canadian cognitive psychologist and computer science specialist Hinton told the BBC the chatbot could soon surpass the level of information held by the human brain.
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“Right now, what we ’ re seeing is that things like GPT-4 are far superior to a person in the amount of general knowledge they have.
For thinking, it ’ s not good, but it really works on simple thinking. ”
"Given the rate of development, we expect things to improve quickly.
So we have to worry about that. ”
In the article he sent to the New York Times, he pointed out that “bad actors ” may try to use artificial intelligence to do“ bad things. ”
In response to the BBC's request for further clarification on the matter, he said: "This is just kind of a worst-case scenario, kind of a nightmare scenario."
“Can you imagine, for example, that someone as bad as the Russian president (Vladimir Putin) decided to give robots the ability to create their own sub-goals? ”
In the end, he warned, this could “create sub-goals – for example, ‘ I need to get more power. ’ ”
"I have come to the conclusion that the kind of intelligence we develop is very different from the intelligence we have," he said.
“We are biological systems and these are digital systems.
The big difference is that with digital systems you have many copies of the same weight set, of the same world model. ”
"All of these versions can learn separately, but they share their knowledge immediately.
If you have 10,000 people, when one person learns something, everyone will automatically know it.
So chatbots can know much more than one person. ”
Hinton also spoke of several other reasons why he quit his job.
“One of them is that I am 75 years old now.
And the other is that I want to say good things about Google.
It would be more credible if I didn ’ t work for Google. ”
He stressed that he did not want to criticize Google, and that the company was "very responsible".
Google Chief Scientist Jeff Dean said: “We remain committed to a responsible approach to artificial intelligence.
We are constantly learning to understand the risks arising under innovation boldly as well. ”

Hinton pioneered neural networks research, enabling deep learning and AI systems like ChatGPT and Google's Bard.

Title:

Content: The ‘Godfather of AI’ warns about potential dangers of the technology as he quits Google

British-Canadian computer scientist Geoffrey Hinton admits he has fears for the future of AI

In a Frankenstein-esque tale of maker and master, Geoffrey Hinton, 75, dubbed ‘the godfather of AI’, has left Google with a parting warning over the dangers of artificial intelligence.

In 2012, the British-Canadian computer scientist invented technology with two students at University of Toronto that would become the intellectual foundation for AI systems. Google purchased the rights to this neural network tech to the tune of $44 million, which also propelled Dr Hinton to receive the Turing Award in 2018, considered the Nobel Prize of computing.

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Yet now, Dr Hinton has packed in the day job at Google to join a chorus of anxious experts demanding a rollback of AI research until more robust safety measures are designed and deployed. Dr Hinton told the BBC: ‘Right now, they’re not more intelligent than us, as far as I can tell. But I think they soon may be.’

While many look upon AI as a natural technological development akin to the internet that could lead to exciting breakthroughs for humanity, there are growing fears that AI is a Pandora’s box. Reflecting on the effects of his work, Dr Hinton said: ‘I console myself with the normal excuse: If I hadn’t done it, somebody would have,’ as he admitted, ‘it is hard to see how you can prevent the bad actors from using it for bad things.’

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The scientist went on to warn that AI could be taught to ‘create sub-goals like “I need to get more power”’, and be harnessed by nefarious actors to wreak havoc. With innovation driven forward by the unstoppable competition between behemoths like Google and Microsoft, Dr Hinton warned innovation will only increase exponentially in the coming years.

There are those who are trying to apply the brakes to this runaway train. In March, an open letter was signed by over 1,000 tech leaders and researchers, including Elon Musk and fellow Turing Award winner Yoshu Bengio, calling for a six-month moratorium on AI development. A few days later, 19 leaders of the Association for the Advancement of Artificial Intelligence released their own letter on the risks of AI. The signatures included that of Eric Horvitz, chief scientific officer at Microsoft.

The main outcry over AI lies in its ability to create and disseminate false news and images, which the public may find increasingly hard to identify. AI also poses a threat to academia and careers (see: Tatler’s foray into the world of ChatGPT). Dr Hinton believes that AI will fundamentally disrupt the workplace and take over the ‘drudge work’.

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However Google’s chief scientist, Jeff Dean, offered words of comfort, adding: 'We remain committed to a responsible approach to AI. We’re continually learning to understand emerging risks while also innovating boldly.’

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

Which AI system demonstrates the foundation laid by Hinton's pioneering research in deep learning and neural networks?

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

Which AI system demonstrates the foundation laid by Hinton's pioneering research in deep learning and neural networks?

What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

Which AI system demonstrates the foundation laid by Hinton's pioneering research in deep learning and neural networks?

He proposed backpropagation in the 1980s and later developed neural networks.

Which 1986 paper by Hinton became foundational for modern neural networks?

Which 1986 paper by Hinton became foundational for modern neural networks?

Hinton co-founded DNNresearch, which Google acquired in 2013, and then worked at Google.

He received the 2018 Turing Award for contributions to deep learning and neural networks.

Title:

Content: AI Godfather Hinton: Artificial intelligence threatens humanity more urgently than climate change
Central News Agency
Geoffrey Hinton, a pioneer in artificial intelligence (AI), said in an interview with Reuters today that the threat posed by AI to humans may be “more urgent ” than climate change.
This is an advertisement, please continue reading.
Hinton, 75, who is regarded as one of the “godfathers ” of artificial intelligence, recently announced his departure from Alphabet, a 10-year tech company, because he wanted to make the risks of artificial intelligence public without involving employers.
Hinton ’ s research has been recognized as an important contribution to the development of contemporary AI systems. In 1986, he co-authored the influential paper Learning Representations by Back-propagating Errors, which set a milestone in the development of neural networks supporting AI technology. In 2018, he received the Turing Award for his research breakthroughs. And...
Hinton is one of a growing number of technology leaders who are concerned that machine intelligence will surpass humans and ultimately control the planet, and are openly raising concerns about the potential threat posed by AI.
“I ’ m not trying to downplay the importance of climate change, nor am I saying we shouldn ’ t worry about climate change, which is also a big risk, ” Hinton said.
But I think (artificial intelligence) may be more urgent in the end. "
“When it comes to climate change, making recommendations is simple: just stop carbon emissions.
If you do that, things will get better.
And when it comes to (artificial intelligence), there ’ s nothing we can do about it. ”
OpenAI, a U.S. artificial intelligence research lab sponsored by technology company Microsoft, launched ChatGPT, a chatbot that took the first shot at the AI race last November and quickly became the fastest-growing app in history, with 100 million monthly active users in just two months.
In April, thousands of people signed an open letter calling on all AI labs to suspend development of systems more powerful than OpenAI ’ s recently launched GPT-4 for at least six months, including social media CEO Elon Musk, AI pioneers Yoshua Bengio and Stuart Russell.
Hinton shares the concerns of the co-authors, who fear AI could pose an existential threat to humanity, but he disagrees with the suspension of research.
He said, “It ’ s not practical.
I agree that this is an existential risk, and it ’ s close, and it ’ s time to put a lot of effort into understanding what we can do. ”
Following the publication of the joint letter, the 12 members of the European Parliament called on leaders such as U.S. President Joe Biden and European Union Executive Committee Chairman Ursula von der Leyen to convene a summit to discuss how to control the development of advanced artificial intelligence systems such as ChatGPT, which are developing faster than expected.
“Technology leaders know best about [artificial intelligence], and politics must be involved, ” says Hinton.
This matter concerns all of us, so we must all think carefully. ”
This is an advertisement, please continue reading.

Which prestigious award did Hinton receive in 2018 for his work on neural networks?

Which prestigious award did Hinton receive in 2018 for his work on neural networks?

Which prestigious award did Hinton receive in 2018 for his work on neural networks?

Which prestigious award did Hinton receive in 2018 for his work on neural networks?

Hinton resigned from Google to freely speak about the dangers of unregulated AI development.

Title:

Content: The godfather of AI quit Google's job, worried that artificial intelligence fell into the wrong hands
WASHINGTON (AFP) - The US media reported today that Hinton, known as the "godfather of AI", resigned his job at Google to talk openly about the risks of AI and worry that AI will fall into the wrong hands.
He said that it is difficult to see how to prevent bad people from using it to do bad things.
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Geoffrey Hinton, who laid the groundwork for artificial intelligence (AI) systems, told The New York Times that advances in AI pose “great risks to society and humanity. ”
In a report published today in the New York Times, Hinton was quoted as saying, “Look at what it looked like five years ago and now, and the difference and growth, it ’ s really scary. ”
Hinton pointed out that competition among tech giants has prompted these companies to release new AI technologies at a dangerous rate, which will endanger people ’ s jobs and spread misinformation.
"It's hard to see how you can prevent bad people from using it (AI) to do bad things," he told the New York Times.
OpenAI, the startup behind Google and now the most powerful AI chatbot, ChatGPT, began using more data than ever before to develop systems in 2022.
Hinton told the New York Times that he believes these systems are surpassing human intelligence in some ways because of the sheer volume of data they analyze.
"Perhaps these systems are already stronger than the human brain," he said.
While AI has been used to support human needs for work, the rapid development of chatbots like ChatGPT could put human jobs at risk.
He told the New York Times that AI is “taking on a chore, ” but“ it ’ s probably going to do more than that. ”
Hinton also warned that AI could spread false information, telling the New York Times that the average person would “no longer know what ’ s true. ”
According to the New York Times, Hinton tendered his resignation to Google last month.
Google ’ s head of AI, Jeff Dean, thanked Hinton in a statement to the US media.
"As one of the first companies to publish AI principles, we remain committed to taking a responsible approach to AI," the statement added.
"While we are bold and innovative, we are constantly discovering new risks."
Tech billionaire Elon Musk and many experts have called for a moratorium on the development of AI systems to allow time to ensure the technology is safe.
After the launch of the GPT-4, which is more powerful than the AI used by ChatGPT, Musk and Apple co-founder Steve Wozniak signed an open letter.
Hinton, who was not involved in the petition, told the New York Times that scientists shouldn ’ t “further scale research and development ” until they know if they can control AI.

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

Why did Hinton leave Google when he helped develop AI but later grew concerned about its dangers?

He believes AI could pose a threat to society if not carefully managed.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

Hinton is concerned about AI's potential to spread misinformation and displace human jobs.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What risks did Hinton associate with AI's rapid advancement?

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What risks did Hinton associate with AI's rapid advancement?

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What risks did Hinton associate with AI's rapid advancement?

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What risks did Hinton associate with AI's rapid advancement?

Experts have responded to Hinton's concerns, with some calling for a moratorium on AI research and others disagreeing.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

The public should consider the potential risks and benefits of AI development to ensure it benefits society.

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

What did Sam Altman admit about ChatGPT and the potential risks of AI?

Advanced AI could pose an existential risk to humanity.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Hinton's warnings emphasize the need for careful control and development of AI, guided by safety, transparency, and accountability.

Title:

Content: Information Technology
The father of artificial intelligence urges governments to face its risks before disaster
Jeffrey Hinton, described as the father of artificial intelligence, on Wednesday urged governments to intervene to ensure that machines do not control society.
Hinton made headlines in May when he announced his resignation from Google to speak more freely about the dangers of artificial intelligence, shortly after the launch of ChatGPT, which captivated the world.
The artificial intelligence scientist, who is studying at the University of Toronto, spoke to a crowd at the Collagen Technology Conference in the Canadian city.
The conference attracted more than 30,000 startup founders, investors and tech workers, most of whom were eager to learn how to ride the wave of artificial intelligence rather than hear lessons about its risks or calls for governments to intervene.
“Before AI becomes smarter than us, I think the people who develop it should be encouraged to put a lot of effort into understanding how it can try to take control of us, ” Hinton said.
“Now there are 99 highly intelligent people trying to make AI better, and one very intelligent person trying to figure out how to stop it from taking control, and maybe we should be more balanced. ”
Hinton warned that the dangers of artificial intelligence must be taken seriously.
“I think it ’ s important for people to understand that this is not science fiction or just fear, ” he said, adding:“ It ’ s a real risk that we have to think about, and we have to figure out how to deal with it first. ”
Hinton expressed concern that AI would deepen inequality, as the vast gains from its productivity would go to the rich, not the workers.
“Wealth will not go to the people who work, it will make the rich richer, not the poor, and this is a very bad society, ” he said.
He also pointed to the danger of “fake news ” that can be created by robots such as ChatGPT, hoping to mark the content generated by artificial intelligence programs as central banks mark coins.
He stressed that it is important to “try, for example, to distinguish everything that is fake as fake, ” and said,“ I don ’ t know if we can do it technically or not. ”
“The Island Net ”

What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

Exposed serious AI risks, shocking the tech world and affecting major company stocks.

What does Hinton warn could happen to AI if companies and regulators fail to implement effective rules and controls?

Global initiatives and AI Safety Institutes are developing standards and techniques for AI safety and security.

Title:

Content: BETA
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Why Cybersecurity Is Foundational To AI Safety

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Marcus Fowler is SVP of Strategic Engagements and Threats at Darktrace and CEO of Darktrace Federal.

From smartphones and social media to the internet itself, technology has the power to fundamentally change our daily lives. But too often technology’s rapid development and adoption outpaces our ability to discuss their associated risks. While the benefits of these advancements are great, there are often unintended consequences with lasting effects.

With generative AI such as ChatGPT becoming widely available, AI has seen a rapid rise in public adoption across industry verticals. This new generation of AI marks a technological advancement that is potentially on par with the introduction of the internet but with adoption orders of magnitude faster. The potential benefits are vast; however, we’re already seeing early signs of how this technology could be misused and threats that could derail its potential. For example, deepfakes are being used to spread misinformation, and sophisticated novel social engineering attacks are crafted using generative AI.

Global Initiatives: Addressing AI Safety And Security

Fortunately, the global community has demonstrated a strong commitment to moving quickly to address the potential risks. The U.K. hosted the inaugural AI Safety Summit in early November. In the same week, the Biden-Harris Administration released an executive order establishing new standards for AI safety and security. Both countries have announced new AI Safety Institutes to develop robust techniques to evaluate AI. Most recently, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the U.K. National Cyber Security Centre (NCSC) collaborated on guidelines for building secure AI systems, which have been adopted by 21 other international agencies.

As AI becomes embedded into the tools and processes we depend on every day, it is vital that they are secure. In fact, the Biden-Harris Administration’s executive order highlights cybersecurity as a significant risk to AI systems. Cybersecurity is foundational to AI safety—it is a prerequisite for trustworthy and safe AI.

To realize the importance of prioritizing cybersecurity, it’s helpful to understand the cyber risks to AI safety: offensive applications of AI in cyberspace, accidental insider threats and cyberattacks targeting AI itself.

At Darktrace, we have been researching offensive applications of AI in cyberspace for years. The rise of generative AI is lowering barriers for attackers and is poised to make them faster. AI-powered cyberattacks can involve using large language models (LLM) to generate sophisticated or highly personalized text in phishing emails, and this process can be completely automated using tools like AutoGPT. LLMs are already showing up on the dark web that claim to write malware code for a few hundred dollars, and attackers can use AI to augment nearly every stage of the attack lifecycle from reconnaissance to command and control.

It’s not just attackers who are using AI to drive more efficiency. AI tools have been rapidly adopted by companies and workers: As of June 2023, we saw that nearly 75% of our customers already had some employees using generative AI tools. However, well-intentioned employees run the risk of inadvertent misuse. For example, an employee inserting sensitive data into a prompt-based LLM tool such as ChatGPT might unintentionally leak proprietary or personal data.

In a high-profile incident, these concerns motivated the U.S. Space Force to temporarily ban Guardians from using government data in generative AI solutions, with a Space Force spokesperson citing the need to "ensure that sensitive DOD data is safeguarded when using such platforms."

It is also important to protect AI systems themselves against cyberattacks. Take, for example, the secure development of AI. This involves defending against threats such as "data poisoning" attacks that corrupt training data to adversely affect the AI’s behavior. Attacks like these may cause the AI to behave in ways that are unexpected or harmful. As AI gets embedded into critical infrastructure and business processes, it’s critical that attackers can’t hijack or trick the guardrails within these tools. Cyberattacks can also be used to steal intellectual property (IP), not only for AI algorithms and data but also for advanced chips that drive AI development.

Priorities: Data Privacy, Control And Trust

It’s positive to see governments taking action to predict the challenges this new generation of general-purpose AI presents. Our history of predicting or properly securing and overseeing technologies, such as the internet and social media adoption, is inadequate, and we can see how much more difficult it is to put the genie back in the bottle. There are three areas of action that governments and companies should prioritize: data privacy, control and trust.

AI systems should be privacy-preserving. Companies building and using general-purpose AI need to protect the data they collect and use to train their models. Organizations should invest in safeguards to detect, identify and test potential risks that can come from within their businesses. That means guarding against personally protected information accidentally being leaked through prompt injections on generative AI platforms.

Humans need control, particularly as general-purpose AI tools become increasingly relied on to take real-world actions. It’s critical to apply cybersecurity best practices to protect models and invest in safeguards to keep AI systems protected at all stages of the AI lifecycle to avoid unintended behaviors or potential hijacking of the algorithms.

Security and transparency are always the foundation of trust: If people cannot have faith in the cybersecurity of their AI systems, they will not be able to trust them to carry out critical functions. Developers can help to ensure that people understand and are aware of how an AI system reaches its decisions and answers.

Though the AI safety risks posed by malicious cyber activity are serious, there is no reason to fall into pessimism. Instead, one should feel optimistic to see the proactive measures taken by the global community. Agencies across the U.S. Federal Government are already working to implement the executive order, and South Korea and France are working on a second and third Global AI Safety Summit.

The good news is that tried-and-true AI tools already exist for cyber defense and have been defending critical infrastructure and other sensitive environments for over a decade. Cybersecurity is foundational to AI safety, and AI itself can play a vital role in mitigating risks.

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The European Union introduced the "Artificial Intelligence Act" to regulate AI development.

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Content: Artificial Intelligence Enterprise Governance Framework Exploring — Microsoft as an Example
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In the past year, the global attention has been attracted by the advent of the big language model represented by ChatGPT, and artificial intelligence technology has once again come into the spotlight of society.
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background
In the past year, the global attention has been attracted by the advent of the big language model represented by ChatGPT, and artificial intelligence technology has once again come to the spotlight of society.
Fluent natural language conversation interaction, high-quality semantic understanding and intelligent Q & A, and powerful AIGC capabilities set off a boom in AI research and business development.
By May 2023, the total number of large-scale language models with more than 1 billion parameters has reached 202, of which China and the United States account for 90%.
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Enterprises have gradually formed the three main service modes of B2C, B2B and B2B2C, and the market participants include the basic large model technology service providers, service providers based on the basic large model to provide applications, enterprise users and individual users.
Together, these entities constitute an increasingly prosperous artificial intelligence market ecology.
In the face of the rapid development of artificial intelligence technology and the emergence of new business models, governments are also aware of the negative impact of artificial intelligence on algorithmic discrimination, algorithmic black boxes, false content and other issues and challenges to human society, and strengthen the supervision of artificial intelligence technology.
According to incomplete statistics, as of March 2024, more than 1,800 AI governance-related policies have been issued worldwide.
For example, the European Union has taken the lead in launching comprehensive artificial intelligence legislation, and the European Parliament has recently officially voted and approved the EU ’ s “Artificial Intelligence Act ”; in 2023, the US White House government required a number of artificial intelligence head companies to sign voluntary standards, promising to take voluntary regulatory measures to manage the development risks of artificial intelligence technology.
In recent years, China has also issued important documents such as "Opinions on Further Compacting the Main Responsibility of Website Platform Information Content Management", "Guiding Opinions on Strengthening the Comprehensive Governance of Internet Information Service Algorithms" and "Provisions on Recommended Management of Internet Information Service Algorithms" ("Provisions on Recommended Management of Algorithms"), which opened the prelude to algorithmic governance.
In order to deal with the new risks arising from the development of deep synthesis technology represented by generative artificial intelligence, the State Internet Information Office (hereinafter referred to as the "State Network Information Office") has successively formulated the "Provisions on the Deep Synthesis Management of Internet Information Services" ("Provisions on Deep Synthesis Management") and the "Interim Measures on the Management of Generative Artificial Intelligence Services" ("Measures").
Together, these provisions form the main basis for China ’ s current AI regulation.
Although China has not yet promulgated a unified artificial intelligence law, it has gradually formed a regulatory system covering such important contents as algorithmic security risk monitoring, algorithmic security assessment, scientific and technological ethics review, algorithmic record management and the disposal of algorithmic violations.
First, the exploration of artificial intelligence corporate governance framework
Whether it is the "Artificial Intelligence Act" issued by the European Union, a series of laws of the Chinese government, and the requirements of the US government for artificial intelligence enterprises, all contain the content of artificial intelligence enterprises need to establish an artificial intelligence internal governance framework, including scientific and technological ethics review, internal governance structure, intellectual property protection, privacy protection, data security and other aspects.
Due to legal compliance requirements, the company's own social responsibility and the elimination of user concerns, well-known domestic and foreign artificial intelligence companies, such as Microsoft, Google, OpenAI, Amazon, Meta, Ali, Baidu, Tencent, have also gradually strengthened the construction of internal governance frameworks.
Although the artificial intelligence governance practices of these enterprises have common parts, they also have different characteristics due to factors such as the company's genes, cultural background, market environment, product focus, and industrial chain location.
Due to the rapid advent of the AI era, the AI governance framework of various enterprises is still relatively "young", but we believe that observing and analyzing the AI governance practices and exploration of these AI head companies will be of great benefit to deeply understanding the opportunities and adjustments faced by all mankind in the AI era, anticipating the legislative trends of regulatory authorities around the world, and providing valuable lessons for other enterprises.
This article will take Microsoft as an example and analyze the artificial governance framework model of artificial intelligence enterprises with relevant legal and regulatory requirements.
As one of the earliest international enterprises to lay out artificial intelligence services, Microsoft has been paying attention to the risks that artificial intelligence will bring to human society3 since 2016, and has continuously experimented and explored within the enterprise, and gradually built a relatively complete set of artificial intelligence governance solutions. Combined with its powerful ToC and ToB series products, the operating model of Microsoft's artificial intelligence products is also relatively mature.
With these factors in mind, Microsoft provides a good sample for our AI governance framework study.
Second, case analysis: Microsoft artificial intelligence governance framework
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Artificial intelligence governance core concepts and principles
Regulatory requirements by country
For AI risk management frameworks, many countries and organizations have proposed their own standards.
For example, the National Institute of Standards and Technology (NIST) released the first edition of the Artificial Intelligence Risk Management Framework (AI RMF 1.0) in 2023, and ISO recently launched the ISO / IEC 42001 Artificial Intelligence Management System Standard.
Although the industry debate on specific AI governance solutions is fierce, but the governance goals, countries have gradually reached a consensus. On November 1, 2023, 28 countries and the European Union signed the world ’ s first international statement on artificial intelligence, the Bletchley Declaration.
In the declaration, delegates agreed that “AI should be designed, developed, deployed and used in a safe, human-centric, trusted and responsible manner for the benefit of all. ”
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The Chinese government has also released the governance concept of artificial intelligence in a timely manner. In 2019, the China National New Generation Artificial Intelligence Governance Professional Committee5 issued the requirements of the Chinese governance framework: "Principles of New Generation Artificial Intelligence Governance - Development of Responsible Artificial Intelligence".
In 2021, the committee further put forward six basic ethics such as promoting human welfare, promoting fairness and justice, protecting privacy and security, ensuring controllable and trustworthy, strengthening responsibility, and enhancing ethical literacy in the new generation of AI ethics. 18 specific ethical requirements in specific activities such as supply and use.
Under the guidance of these principles, China's regulatory authorities require various AI service enterprises (such as algorithm recommendation services, deep synthesis service providers) to implement the main responsibility of algorithm security, establish and improve user registration, algorithm mechanism audit, scientific and technological ethics review, information release audit, data security, personal information protection, anti-telecommunications network fraud, emergency management and other management systems, and take safe and controllable technical protection measures.
When relevant enterprises provide artificial intelligence services with "public opinion attributes or social mobilization capabilities", enterprises also need to carry out security assessments to ensure that the risks of artificial intelligence products are safe and controllable.
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Microsoft ’ s core principles and standards for AI governance
Microsoft has made the development of Responsible AI a fundamental principle and core goal of its governance framework.
To achieve this goal, Microsoft has built a complete AI governance framework within the company that encompasses principles, policy standards, and implementation tools.
First, Microsoft established six basic principles in 2018: accountability, inclusiveness, reliability and security, fairness, transparency, and privacy and security.
Among them, Microsoft regards "accountability" as the cornerstone of all principles, because Microsoft believes that it must always ensure that artificial intelligence is effectively supervised and controlled by people, and that the designers and controllers of artificial intelligence are responsible.
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On this basis, Microsoft further refined these six principles into the "Responsible AI standard" (Microsoft's Responsible AI standard), developed specific implementation methods for each principle, and turned abstract ideas into actionable practical guidelines to help teams of engineers identify, assess and mitigate possible hazards in advance.
For example, Microsoft has broken down the “accountability ” principle into clear practice requirements and operational processes, including requiring teams to conduct impact assessments of AI systems, review whether there will be significant adverse impacts on external parties, clarify the purpose of AI systems, take appropriate data governance measures, and ensure human oversight and control of AI systems.
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Implementation of Microsoft Artificial Intelligence Governance Standards
Microsoft promotes the implementation of the Responsible Artificial Intelligence Standards through internal employee training, testing systems, and governance processes for monitoring, auditing, and compliance.
In addition, Microsoft has designed a series of governance tools for team employees to refer to, such as an AI impact assessment template, an AI impact assessment guide, transparency instructions, and a detailed guidance manual on implementing responsible AI through design.
Microsoft is also acutely aware that these standardized processes and tools are not enough to cope with the complexity of the reality.
With the continuous iterative development of technology and the popularity of artificial intelligence in various industry sectors, the problems generated in real-world applications will exceed the rules set by the Responsible Artificial Intelligence Standards.
In response, Microsoft has created a program to continuously review and regulate projects used in sensitive areas, providing additional regulatory protection for these high-risk AI use cases.
The process can be divided into three steps: "Report-Review-Guidance".
If Microsoft R & D personnel discover that the system is at risk of infringing stakeholders when developing or deploying an AI system, they will report it to the AI Governance Office, and the Chair of the AI Governance Office will then use the above tools for review with R & D project members and other stakeholders.
For particularly significant or novel cases, Microsoft also brings together experts from a variety of backgrounds, including technology, law, engineering, and human rights.
After the review, the review team will propose solutions and recommendations, sometimes more stringent than the general requirements of the Responsible Artificial Intelligence Standards.
For project opportunities that do not meet the company's standards and principles, Microsoft will refuse to engage in commercial cooperation.
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Based on the original translation of "Governance AI: A Blueprint for the Future"
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Internal governance structure
Regulatory requirements by country
Good AI governance requires a functioning internal governance structure.
An efficient and reasonable organizational structure can not only ensure that the guidelines and security measures formulated by the decision-making level can be effectively implemented, but also provide the necessary resources to support the various practices of enterprise AI governance.
Regulators all over the world recognize the importance of internal organizational structures.
As early as 2019, the European Commission adopted “human monitoring ” as one of the seven foundational principles of trusted AI, encouraging companies to take effective measures to embed human monitoring into the activities of AI throughout its lifecycle.
In its latest edition of the Model AI Governance Framework report, the Singapore Personal Information Protection Committee (PDPC) also identified internal governance structures as a necessary link to the responsible use of AI technologies.
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China has similar requirements.
The Regulations on Algorithmic Recommendation Management require algorithmic recommendation service providers to be equipped with professional personnel and technical support commensurate with the scale of algorithmic recommendation services.
The national standard "Information Security Technology Machine Learning Algorithm Security Evaluation Specification" puts forward two more specific requirements:
• Establish a special organization responsible for algorithm security work, generally including the formulation and implementation of system measures and emergency plans;
• According to the algorithm service scale, algorithm complexity, algorithm iterative update speed, etc., equipped with the appropriate personnel in terms of personnel size, technical ability, etc., for technical support.
At the same time, in the process of implementing the algorithm filing procedure, enterprises will also be required to fill in the information of "Algorithmic Security Specialized Agency" and "Algorithmic Security Responsible Person".
Microsoft's internal governance structure
According to Microsoft ’ s “Governing AI: A Blueprint for the Future ” report, there are currently about 350 employees responsible for AI governance at all levels of the organization.
According to the report, at the management level, Satya Nadella, Microsoft ’ s chairman and CEO, and the entire team of executives pushed for the establishment of a governance architecture and made building responsible AI a company-wide task.
The Environmental, Social, and Public Policy Committee on Microsoft ’ s board of directors oversees Microsoft ’ s Responsible Artificial Intelligence program and ensures that the enterprise risk management framework is rigorously enforced.
Under the Board of Directors, Microsoft has established the Responsible Artificial Intelligence Committee, which is responsible for implementing Microsoft ’ s Responsible Artificial Intelligence Program, coordinating leadership and fulfilling accountability.
The committee is chaired by Microsoft Vice Chairman and President Brad Smith and Chief Technology Officer Kevin Scott.
Kevin Scott is responsible for developing the company ’ s technology vision and overseeing Microsoft ’ s R & D department.
The Responsible AI Committee meets regularly and includes representatives from core research, policy and engineering teams working on AI governance, such as the AI, Ethics and Engineering Research Committee (Aether committee), the AI Governance Office, engineering managers, and senior business partners.
At the executive level, Microsoft recognizes that having a single team or department in charge of AI governance is not enough.
Long-term practical experience has made Microsoft realize that the governance of AI requires not only the support of the company ’ s management, but also advocacy and advocacy at all levels of the company.
To this end, Microsoft ’ s AI Governance Office has designed a governance system that involves many different teams and functions across the company, including research and development teams, policy teams, and engineering teams.
Management appoints “Responsible AI Champions ” in product, engineering and sales teams.
These SRs need to lead responsible AI practices within their respective teams, including but not limited to adopting the Responsible AI Standards, identifying problems and proposing solutions to the team, and promoting an AI governance culture.
The AI Governance Office will coordinate the various teams in the enterprise, and use the deep expertise and product operation experience of each team to develop a governance method that can be applied to the whole company.
Based on the original translation of "Governance AI: A Blueprint for the Future"
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Intellectual property governance
The rapid development of artificial intelligence technology has brought a huge impact on the existing intellectual property legal system.
With artificial intelligence technology, there are many new legal problems, and there are still no clear answers, and there is an urgent need for all parties to actively explore and solve.
For example: Is the use of other people's data for the purpose of training artificial intelligence models fair use or constitutes an infringement of the intellectual property rights of others?
Is AI Generated Content ("AIGC") copyrightable? Should AIGC be owned by service users or service providers?
Intellectual property infringement concerns are also one of the factors preventing companies from using generative AI on a large scale.
A German AI content governance company survey of 86 Fortune 500 companies in August 2023 showed that nearly a third of respondents cited intellectual property issues as the top concern for companies using generative AI.
Regulatory requirements by country
There are no clear answers to these questions under the existing intellectual property law system, and all countries are stepping up research and active exploration.
In China, articles 4 and 7 of the Generative Artificial Intelligence Measures stipulate in principle that "intellectual property rights shall be respected" and "no infringement of the intellectual property rights enjoyed by others in accordance with the law", but do not further stipulate the specific situation. Concerns abroad.
The US government has taken a series of measures to extensively absorb the opinions of various parties through holding hearings and listening to legislative proposals on artificial intelligence intellectual property rights to prepare for further legislation.
In the judicial field, a number of lawsuits against major US model companies such as OpenAI, Google, Midjourney are being heard, and the relevant disputes cover training data infringement issues, AIGC copyright issues and so on.
In 2018, Japan ’ s legislature amended the Copyright Law to extend the scope of “fair use ” to cover the use of AI training data for copyright owners ’ works in order to encourage the development of AI technology, but also to stipulate that data training for the purpose of infringing original copyright is an infringement.
The European Union has clarified the principle of reasonable use of data mining by developers through the Single Digital Market Copyright Directive 2019, and has provided institutional safeguards for artificial intelligence regulation and governance of enterprises through the Artificial Intelligence Act, the Digital Market Act, and the Digital Services Act.
The development of intellectual property protection practices of artificial intelligence enterprises
In the early stage of the development of generative artificial intelligence market, the more common practice of the artificial intelligence industry is "generating content infringement consequences."
Specifically, AI service providers agree through the terms of service that all liability arising from the user's use of AIGC shall be borne by the user, and the service provider is not responsible for AIGC; or through the disclaimer clause agree that AIGC products and services are provided according to "as is" (as is), and refuse to guarantee them quality, marketability, and non-infringement, so as to exclude related liability 16.
Some service providers even reverse agree that users are required to compensate for infringement claims faced by service providers.
For example, Storyboard That, a comics split-mirror AIGC product, states in its Terms of Service: "The User shall defend, indemnify and hold Clever Prototypes harmless from any and all claims, actions, procedures, liabilities, loss, damage, costs, fees and attorneys' fees arising from the User 's use of the Service or from the User' s breach of any provision of this Agreement." Has undertaken the onerous responsibility of self-screening AIGC tools for possible infringement, and the huge risk of claims arising from infringement.
Microsoft's stance on artificial intelligence intellectual property
Driven by Microsoft, the general practices in these markets are gradually changing.
In June 2022, Microsoft subsidiary GitHub took the lead in pledging to compensate for infringement claims faced by users using Copilot, its generative AI coding tool, if users use a “check ” filter on their AI output code. Adobe and Shutterstock then began offering intellectual property infringement remedies to commercial users using their AI image generation tool, respectively, on a limited scale.
The above infringement compensation measures are limited to specific code and image generation tools, and the scope of application is narrow.
In 2023, Microsoft, through its Copilot copyright commitment (the precursor to CCC), further challenged the prevailing practices in the market and greatly expanded its scope of intellectual property protection.
Microsoft's Copilot copyright commitment guarantees that paying users can "use Microsoft's Copilot service and the output it produces without fear of copyright claims."
Unlike the aforementioned GitHub protection for output code, the Copilot copyright commitment covers a wide range of Microsoft Copilot services, including Copilot AI applications integrated into the M365 family of office software.
On September 28, 2023, IBM said that it will compensate customers for intellectual property claims arising from the use of watsonx artificial intelligence and data platform18. In October 2023, Google announced compensation for generative artificial intelligence tools. In November 2023, OpenAI CEO Sam Altman told attendees at the OpenAI "DevDay" conference. Announced that customers of ChatGPT Enterprise and API will be protected and paid for by OpenAI if they face copyright infringement lawsuits 20
On November 15, 2023, Microsoft officially renamed the Copilot copyright commitment to "Customer Copyright Commitment" ("CCC"), and further extended its protection scope to include B-side enterprise users who use the AOAI platform for in-depth development.
In general, in the business model of B-side enterprise users using large model input data for model training and application development, enterprise users have higher degrees of freedom, and large model providers have difficulty in controlling customer generated content, so it is more difficult to ensure that the output content does not involve infringement.
In this context, Microsoft, as a large model provider, can still proactively promise to assume infringement liability for customer-generated content, which is not easy to choose, but also shows Microsoft's strong confidence in its AI products.
Microsoft's "Customer Copyright Protection Commitment" Strategy
Here are some of the key features of Microsoft ’ s Customer Copyright Commitment (CCC):
Customer Copyright Protection Commitment (CCC21)
Subject to all of the following additional conditions, Microsoft ’ s obligations under the Customer Volume Licensing Agreement to defend a customer against a third-party intellectual property claim will apply to the customer ’ s use or distribution of the output that covers the product:
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The Customer has not disabled, evaded, corrupted or interfered with restrictions in content filters, meta-prompts, or other security systems belonging to the Covered Product when using the Covered Product to generate the resulting output.
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The Customer has not modified, used or distributed the Output Content in a manner that he or she knew or should have known might infringe or misappropriate any proprietary rights of third parties.
3.
The customer has sufficient rights to use the inputs related to the covered product, including but not limited to any customer data that the customer uses to customize the model that generates the output content that leads to the claim.
4.
The claim does not claim that the exported content was used in a commercial or trade process and infringes the trademark or related rights of a third party.
5.
For Azure OpenAI services and any other covered products with configurable meta-prompts or other security systems, customers must also implement all risk mitigation measures required in the Azure OpenAI service documentation (posted at https: / / learn.microsoft.com / legal / cognitive-services / openai / customer-copyright-commitment) of the product that provides the output that leads to the claim.
"
In short, Microsoft ’ s “Customer Copyright Protection Commitment ” mechanism needs to meet a number of additional conditions.
First, customers must not "bypass" the content filters built into the product, and must implement all of the "risk mitigation measures" required by Microsoft.
Second, the customer shall not knowingly or condone the infringement, including the use of the output content that the customer knows may lead to infringement, as well as the infringement of the user ’ s input content itself.
Finally, the CCC commitment does not cover trademark rights in the course of business or trade.
Subject to the above additional conditions, Microsoft undertakes to provide the customer with a defense against third-party intellectual property claims and to pay the amount of the claim, including any adverse judgment or settlement resulting from litigation, with no limit on the amount of compensation.
The CCC commitment is Microsoft ’ s positive response to the issue of artificial intelligence intellectual property.
On the one hand, Microsoft took the initiative to take responsibility and reduce the risk of artificial intelligence service users to generate content; on the other hand, Microsoft requires customers to participate in intellectual property governance, providing customers with rigorous security systems and risk mitigation measures, and guiding customers to use Microsoft's services reasonably.
At the same time, Microsoft's compensation commitment also guarantees the legal rights of copyright owners to obtain claims in litigation.
As a generative AI service provider, Microsoft changed the general practice of "generating content infringement consequences" in the AI industry, took the initiative to assume responsibility, and pioneered the special mechanism of "customer copyright protection promise" to divert the risk of intellectual property infringement faced by customers, and played a huge role in eliminating enterprises' concerns about using generative AI.
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Data protection
Another huge risk hidden behind artificial intelligence technology is the possibility of data leakage. In April 2023, South Korean technology giant Samsung Electronics suffered a serious confidential information leak after introducing the artificial intelligence language model ChatGPT, which triggered widespread concern about data security and privacy protection of artificial intelligence technology.
In June 2023, a data analysis company counted 1.6 million company employees from various industries using ChatGPT, and found that 10.8% of employees had tried to use ChatGPT at work, and 4.7% of employees entered the company ’ s confidential data into ChatGPT.
Regulatory requirements by country
Ensuring data security is a common requirement and priority concern of regulatory authorities in various countries.
Starting from the General Data Protection Regulation, the EU has paid close attention to the compliance of artificial intelligence in data privacy and personal information protection and algorithms, and carried out a series of targeted investigation actions.
Italy ’ s personal data protection authority announced the ban on ChatGPT and launched an investigation into it on the grounds of violating data privacy, and it was only after OpenAI updated the relevant privacy policy that Italy restored access to ChatGPT in the country.
The governments of Germany and Ireland followed suit, saying they would focus on the data security implications of big model applications.
The Generative Artificial Intelligence Measures promulgated by China in July 2023 clearly require AI service providers to undertake corresponding data security protection obligations.
According to Article 7 (5) of the Generative Artificial Intelligence Measures, service providers are required to fulfill data security obligations under laws and regulations such as the Data Security Law, the Cybersecurity Law, and the Personal Information Protection Law.
However, these laws and regulations for data security obligations are relatively abstract, how to specifically apply in the process of generative artificial intelligence service delivery, but also need to explore the compliance of enterprises, and need to closely observe the specific law enforcement actions and related guidelines of the regulatory authorities.
Microsoft's Data Protection Governance
Microsoft has taken a number of steps to ensure data and privacy security for its AI services, with a focus on the following:
• First, improve safety.
Microsoft is committed to the security and privacy of its products at all stages of design and implementation.
For example, in response to customer concerns about training data breaches, in the M365 Copilot service provided to customers, Microsoft promised to strictly adhere to its existing privacy policy and not use user data for model training.
In the AOAI service provided by Microsoft to enterprise customers, enterprise customers can develop applications based on Microsoft's existing models and use customers' own data for model training. Microsoft promises that the training data and generated content entered by customers are entirely owned by customers, and Microsoft will not provide them to any other customers, will not provide OpenAI or models for training OpenAI, and will not be used to improve Microsoft's various services.
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• Second, increase transparency.
Microsoft promises to fully inform users in real time when using AI products, so that individuals and organizations can clearly understand the capabilities and limitations of their AI systems.
For example, when users use the Copilot service, Microsoft will let users clearly know that they are interacting with artificial intelligence, and show users information about how they collect and use data, while providing users with easy-to-understand options in a conversational manner to help users better understand how to use artificial intelligence and reduce the risk of potential data and privacy breaches.
• Third, provide the user with the right to exercise.
Microsoft promises to provide a convenient way for data subjects to exercise their rights.
Microsoft account holders can access, manage and delete their personal data and stored conversation history through the Microsoft Privacy Dashboard so they can control their data.
• Fourth, continuous compliance to support the advancement of global data protection regulations.
Microsoft is committed to ensuring that it complies with local data protection laws in all jurisdictions where it operates.
Microsoft is also committed to active social responsibility, working closely with data protection authorities and privacy regulators around the world to actively participate in and advance the development of data protection laws.
IV. Inspiration brought by the Microsoft model
Artificial intelligence technology is promoting intellectual innovation, high-quality economic development and efficiency of production and lifestyle in human society at an unprecedented speed.
While injecting new momentum into the development of the global industry, artificial intelligence has also spawned a series of new problems and challenges, which require regulators and the industry to jointly explore AI governance solutions that advance with the times.
Microsoft ’ s “Responsible AI ” governance framework is closely related to Microsoft ’ s AI product line, but it has a lot to learn from for other AI companies and user companies, such as:
Basic principles
Establish the basic principles and core goals of “Responsible AI ” across all relevant departments and all related product design;
Internal governance framework
Establish an efficient internal governance structure, and clarify the responsible person and responsible department of AI governance from the management level to the executive level;
Standard implementation
Construct a complete AI governance framework covering principles, policy standards, and implementation tools, and leave room for change;
Intellectual property governance
Provide infringement risk transfer scheme under the premise of guiding users to use artificial intelligence services reasonably;
Data protection
Take steps to improve security, increase transparency, provide users with a way to exercise their rights, ensure continuous compliance, and support the advancement of global data protection regulations.
Due to the rapid development of artificial intelligence technology, the exploration of AI governance solutions by relevant enterprises is still at an early stage.
While paying attention to the development of artificial intelligence technology, the development of corporate governance practices and the changes in policies and regulations of regulatory departments also deserve special attention.
We will continue to observe and analyze the hot spots and key issues in this field to improve the readers.
Note:
1 See China Institute of Science and Technology Information, Research Report on China Artificial Intelligence Large Model Map.
2 This data is from the database of the Artificial Intelligence Policy Observatory published by the Organisation for Economic Co-operation and Development (OECD), available at https: / / oecd.ai / en / dashboards / overview, last accessed: March 18, 2024.
Microsoft says its AI governance practices stem from Satya Nadella ’ s 2016 speech on the relationship between people and AI.
See "The Partnership of the Future", https: / / slate.com / technology / 2016 / 06 / microsoft-ceo-satya-nadella-humans-and-a-i-can-work-together-to-solve-societys-challenges.html.
4 See ICO, "The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023", https: / / www.gov.uk / government / publications / ai-safety-summit-2023-the-bletchley-declaration / the-bletchley-declaration-by-countries Attending-the-ai-safety-summit-1-2-november-2023.
The National New Generation Artificial Intelligence Governance Professional Committee was established by the Ministry of Science and Technology of China in March 2019, and is mainly responsible for formulating China ’ s AI governance framework and action guidelines.
6 See Article 7 of the Regulation on Algorithm Recommendation Management and Article 7 of the Regulation on Deep Synthesis Management.
7 See Article 27 of the Regulations on Algorithmic Recommendation Management, Article 20 of the Regulations on Deep Synthesis Management and Article 17 of the Measures for Generative Artificial Intelligence.
8 See Microsoft, "How do we best govern AI?", https: / / blogs.microsoft.com / on-the-issues / 2023 / 05 / 25 / how-do-we-best-govern /.
9 See Microsoft, "Microsoft's Responsible AI standard v2.0, general requirements", https: / / blogs.microsoft.com / wp-content / uploads / prod / sites / 5 / 2022 / 06 / Microsoft-Responsible-AI-Standard-v2-General Requirement matter-3.pdf.
10 See Microsoft, "Governing AI: A Blueprint for the Future", https: / / query.prod.cms.rt.microsoft.com / cms / api / am / binary / RW14Gtw, pp. 33-34.
11 See "Ethics guidelines for trustworthy AI", https: / / op.europa.eu / en / publication-detail / - / publication / d3988569-0434-11ea-8c1f-01aa75ed71a1.
12 See "Model AI Governance Framework, Second Edition", https: / / iapp.org / media / pdf / resource _ center / pdpc _ model _ framework _ ai _ governance _ second _ edition.pdf.
13 See Microsoft, "Governing AI: A Blueprint for the Future", https: / / query.prod.cms.rt.microsoft.com / cms / api / am / binary / RW14Gtw, p. 36.
14 See Acrolinx, Inc., report "Building the Future Real-world insights into generative AI adoption and risks in the enterprise", https: / / www.acrolinx.com / wp-content / uploads / 2023 / 08 / Acrolinx _ Generative-AI _ Report _ FNL.pdf.
15 See China Court Network report "Breaking the ice: the first artificial intelligence Wensheng pattern comes into effect", https: / / www.chinacourt.org / article / detail / 2024 / 02 / id / 7796864.shtml.
16 See OpenAI ’ s Terms of Use (https: / / openai.com / policies / terms-of-use), Midjourney ’ s Terms of Service (https: / / docs.midjourney.com / docs / terms-of-service), Canva ’ s Paintable Terms of Use (https: / / www.canva.cn / policies / terms-of-use /) And...
Last visit date: 20 February 2024.
17 See Storyboard That ’ s Terms of Service (https: / / www.storyboardthat.com / about / terms-of-use).
Last visit date 19 March 2024.
18 See IBM Announces Availability of watsonx Granite Model Series, Client Protections for IBM watsonx Models, press release, September 28, 2023, https: / / newsroom.ibm.com / 2023-09-28-IBM-Announces-Availability-of-watsonx-Granite-Model-Series-Client- Protections-for-IBM-watsonx-Models.
19 See Google ’ s October 13, 2023 blog, “Shared fate: Protecting customers with generative AI indemnification ”, https: / / cloud.google.com / blog / products / ai-machine-learning / protecting-customers-with-generative-ai-indemnification.
20 See the OpenAI blog "New models and developer products announced at DevDay" on November 6, 2023, https: / / openai.com / blog / new-models-and-developer-products-announced-at-devday.
21 Extracted from the Microsoft Product Terms, available at https: / / www.microsoft.com / licensing / terms / product / ForOnlineServices.
22 See the Financial Times report of 30 January 2024, "Be careful! ChatGPT may be stealing your data!", https: / / t.cj.sina.com.cn / articles / view / 2699543161 / a0e7c2790010134i3.
23 See Cyberhaven's blog "11% of data employees paste into ChatGPT is confidential", https: / / www.cyberhaven.com / blog / 4-2-of-workers-have-pasted-company-data-into-chatgpt.
24 See a blog post by Julie Brill, Microsoft ’ s vice president and chief privacy officer, at https: / / blogs.microsoft.com / on-the-issues / 2023 / 12 / 19 / trust-privacy-bing-copilot-responsible /.
25 See Azure OpenAI data, privacy, and security guide.
26 See Data, Privacy, and Security for Microsoft Copilot for Microsoft 365.
The content of this article is intended to provide a general guide to the subject matter.
Specialist advice should be sought about your specific circumstances.
Artificial Intelligence Enterprise Governance Framework Exploring — Microsoft as an Example
China Technology
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The EU AI Act establishes a risk-based approach, prohibits unacceptable AI applications, and requires conformity assessments for high-risk AI systems.

Title:

Content: EU AI Regulations

AI REGULATION IN THE EU

The EU AI Act (COM/2021/206) is hailed as the first comprehensive regulation on AI. It represents a significant milestone in AI governance via legislation. It aims to establish a harmonised framework for AI regulation across EU member states.

The Act's key provisions include a risk-based approach to AI governance. Specifically, with stringent requirements for high-risk AI systems to undergo conformity assessments. These assessments are conducted by notified bodies accredited by EU member states, instilling accountability and oversight in the development and deployment of high-risk AI applications.

Additionally, the Act imposes strict prohibitions on certain AI applications deemed unacceptable. Social scoring systems and real-time biometric identification in public spaces are a good example of this. By delineating clear boundaries on permissible AI applications, the EU aims to safeguard fundamental rights, including privacy, non-discrimination, and autonomy, while fostering public trust in AI technologies.

To facilitate effective implementation and enforcement of the AI Act, the legislation establishes the European Artificial Intelligence Board (EAIB). Comprising representatives from EU member states, the EAIB is tasked with providing guidance, monitoring compliance, and fostering international cooperation on AI governance. Furthermore, the Act empowers national competent authorities to enforce regulatory requirements and impose sanctions for non-compliance, ensuring robust enforcement mechanisms across the EU.

The EU AI Act (COM/2021/206) is hailed as the first comprehensive regulation on AI. It represents a significant milestone in AI governance via legislation. It aims to establish a harmonised framework for AI regulation across EU member states.

The Act's key provisions include a risk-based approach to AI governance. Specifically, with stringent requirements for high-risk AI systems to undergo conformity assessments. These assessments are conducted by notified bodies accredited by EU member states, instilling accountability and oversight in the development and deployment of high-risk AI applications.

Additionally, the Act imposes strict prohibitions on certain AI applications deemed unacceptable. Social scoring systems and real-time biometric identification in public spaces are a good example of this. By delineating clear boundaries on permissible AI applications, the EU aims to safeguard fundamental rights, including privacy, non-discrimination, and autonomy, while fostering public trust in AI technologies.

To facilitate effective implementation and enforcement of the AI Act, the legislation establishes the European Artificial Intelligence Board (EAIB). Comprising representatives from EU member states, the EAIB is tasked with providing guidance, monitoring compliance, and fostering international cooperation on AI governance. Furthermore, the Act empowers national competent authorities to enforce regulatory requirements and impose sanctions for non-compliance, ensuring robust enforcement mechanisms across the EU.

US AI Regulations

In contrast, the AI regulatory landscape in the US is characterised by a patchwork of laws and guidelines. As usual, reflecting a more decentralised and sector-specific approach. Federal agencies such as the Federal Trade Commission (FTC) and the National Highway Traffic Safety Administration (NHTSA) have issued guidelines and regulations addressing specific aspects of AI, such as consumer protection and autonomous vehicles. However, comprehensive federal legislation on AI remains elusive, with regulatory efforts primarily focused on addressing sector-specific challenges.

The Department of Defence (DoD) is actively engaged in regulating AI technologies. In particular, within the context of national security and defence applications. The DoD has issued guidelines and policies for the ethical development and use of AI in military operations, including principles for AI governance, human-AI collaboration, and risk management. It also collaborates with industry partners and academia to advance AI research while ensuring national security interests are upheld.

Beyond the FTC, NHTSA, and DoD, several other federal agencies are involved in regulating AI technologies within their respective domains. The Food and Drug Administration (FDA) oversees the regulation of AI-driven medical devices and diagnostic tools, ensuring safety, efficacy, and accuracy standards are met. Similarly, the Department of Homeland Security (DHS) addresses AI-related cybersecurity threats, while the Department of Justice (DOJ) focuses on legal and ethical considerations in AI applications, such as predictive policing and criminal justice reform.

Challenges and Disparities

AI REGULATION

The result is a heterogeneous system of laws and regulations. Against this backdrop, businesses, developers, and policymakers face the challenge of navigating a complex and evolving regulatory landscape. While the EU AI Act provides a comprehensive framework for AI governance in the EU, the regulatory environment in the UnS remains fragmented, with varying approaches across states and sectors. This disparity poses challenges for multinational companies operating in both jurisdictions, as they must reconcile conflicting regulatory requirements and ensure compliance with evolving standards.

UK AI Regulations

AI REGULATION in the UK

The AI Sector Deal is the UK government's strategic initiative to grow their AI legislative scope. It represents a concerted effort to position the UK as a global leader in AI innovation, research, and development. It was released in 2018 as part of the Industrial Strategy, aiming to leverage the transformative potential of AI technologies to drive economic growth, improve public services, and address societal challenges.

Key components of the Deal include substantial public and private sector investments, primarily in AI research, initiatives to foster AI talent development, and measures to promote ethical and responsible uses of AI technologies. Furthermore, the deal emphasises collaboration between industry, academia, and government to accelerate AI innovation and adoption across various sectors.

This outlines the UK's commitment to invest in AI research and innovation. In fact, the government pledged to invest £603 million in AI-related initiatives; with an additional £342 million in private sector investment, totalling £945 million. This underscores the government's recognition of AI as a strategic priority for economic growth and improving societal outcomes.

Moreover, the Deal places a strong emphasis on skills development and education. This aims to ramp up the UK workforce, giving them the necessary tools to thrive in an AI-driven economy.

Initiatives such as the AI Skills and Talent Package aim to support a wide-range development of AI skills. In fact various educational levels are included, from primary schools to universities; promoting diversity and inclusivity in the AI workforce.

In addition to fostering innovation and talent development, the AI Sector Deal underscores the importance of ethical and responsible AI development and deployment. It includes provisions for establishing an AI Council to provide guidance on AI policy and ethics, as well as initiatives to develop standards and best practices for AI governance and regulation.

Navigating the AI Frontier: Conclusion

AI REGULATION

While western governments are starting to take AI seriously, diverging legislations in a globalised world pose a daunting challenge. As businesses, developers, and policymakers navigate the complex and evolving regulatory landscape, they must reconcile differing approaches and ensure compliance with evolving standards. Multinational companies operating across jurisdictions face challenges in navigating regulatory disparities. However, initiatives such as the EU AI Act and the UK's AI Sector Deal provide guiding frameworks for responsible AI governance, fostering innovation while safeguarding societal interests.

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

Other countries, including the US, UK, Canada, South Korea, and Japan, have also adopted AI regulations.

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Content: 【 Printing 】
Finding a balance between innovation and safety
Related LINKS http: / / www.CRNT.com 2024-02-16 09: 01: 57
BEIJING, Feb. 16 (Xinhua) -- With the rapid development of artificial intelligence, how to solve the security problems it brings has become a global issue.
Delegates from 27 European Union countries recently voted unanimously to support the final text of the Artificial Intelligence Act (AI Act), pushing the EU to take another important step towards legislative regulation of artificial intelligence.
EU Internal Market Commissioner Thierry Breton said the 27 countries unanimously supported the bill, saying they recognized that “negotiators have found the perfect balance between innovation and security. ”
The bill, introduced by the European Commission as early as 2021, requires a list of regulations that prohibit AI from doing business, based on the risk level of artificial intelligence (AI) capabilities.
Since then, with the explosion of ChatGPT generative AI systems and the attendant risks to employment, privacy, and copyright protection, European lawmakers have pushed for the bill to cover the “foundational model, ” the advanced system that underpins general AI services such as ChatGPT.
However, this “expansion ” raises one of the biggest sticking points that has plagued the bill.
Some countries, including France and Germany, are concerned that the bill ’ s strict regulation of advanced AI models will hinder the development of artificial intelligence in Europe.
In this regard, the European Commission said that it will launch a number of initiatives to support AI innovation, including the establishment of a dedicated regulatory body, and the exclusion of AI developed for scientific research from the scope of regulation.
But until recently, when the final text of the bill was unanimously approved, lawmakers and EU countries were still engaged in a heated debate on how to strike a balance between promoting innovation and preventing risks.
In the end, the German Federal Minister of Digital and Transport Fork Wiesen announced on the eve of the bill's vote that the "German debate on the position of the artificial intelligence bill" had ended and a "feasible compromise" had been reached.
France, for its part, relented after achieving a “balance of transparency and trade secrets ” and easing the administrative burden of managing high-risk AI systems.
At the same time, CCIA, a lobbying group composed of technology giants such as Apple, Google, Meta, and others, remains uneasy about the EU AI legislation, saying that there are still many uncertainties in the new rules, which may slow the development and promotion of innovative applications of artificial intelligence in Europe.
From the perspective of many parties, this bill has not yet reached the so-called "perfect balance".
However, the EU countries are still trying to reach a compromise, one of the main reasons is that the current pace of development of artificial intelligence innovation has far exceeded the pace of technical regulation, legal ethics, and policy evaluation, and there is an urgent need for a more far-sighted governance framework to deal with unknown challenges.
Among the top 10 short-term risks for 2024 summarized by the World Economic Forum, AI has outpaced climate change, economic weakness, and war as the biggest risk.
At present, major economies around the world have accelerated the improvement of the relevant governance framework.
In July 2023, China introduced the world ’ s leading “Interim Measures for the Management of Generative AI Services ” for Generative AI.
In the United States, non-legislative measures such as the "Blueprint for the Artificial Intelligence Bill of Rights" are the main measures to regulate the development of artificial intelligence.
Countries such as Canada, South Korea, and Japan have also begun to adopt regulations and restrictions in the field of artificial intelligence.
At the same time, more and more countries and regions recognize that AI has cross-national, cross-cultural, and cross-domain characteristics, and that a regulatory framework established by a single country in its own interests cannot solve the practical problems in AI governance.
At the third Belt and Road International Cooperation Summit, China put forward the Global AI Governance Initiative, calling on all parties to carry out communication, exchanges and pragmatic cooperation on global AI governance. In November 2023, more than 20 countries and regions, including China, the United States and the European Union, jointly signed the first global AI statement, the Bletchley Declaration, and agreed to establish an AI regulatory approach through international cooperation.
In this way, while the relevant EU legislation is continuously promoted within the region, it is also necessary to further embed internal supervision into the international mechanism, and actively seek to build a multilateral AI supervision and cooperation platform, in order to truly find the “perfect balance ” between innovation and security.
Source: The Journal of the Economy: Yang Chi-lin
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300 million jobs are threatened by artificial intelligence, and 47% of US jobs are threatened by automation.

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Content: TechnologyNews
300 million jobs threatened by artificial intelligence
Analysis and Reflections
The world is witnessing an unprecedented shift in the work and employment environment.
News from Libya 24
With rapid advances in technology, the world is witnessing an unprecedented shift in the work and employment environment.
Artificial intelligence (AI) has become a key driver of this change, with the ability to perform complex tasks that previously required human intervention.
This stunning progress raises many questions about the future of jobs, with some studies suggesting that artificial intelligence could threaten about 300 million jobs in the coming decades.
In this article, we will review the scientific and literary analysis of this phenomenon, focusing on the economic, social and psychological dimensions of this radical transformation.
Artificial intelligence.
Economic transformation and jobs at risk
Economically, the enormous impact of artificial intelligence on the labor market is undeniable.
This impact relies heavily on the technical ability of AI to perform tasks more efficiently and at a lower cost than humans.
In sectors such as manufacturing, logistics, and retail, robots and artificial intelligence systems are beginning to replace workers in routine and repetitive tasks.
For example, AI systems can manage inventory, process orders, and even deliver logistics in a more efficient way.
This progress reduces production costs and increases profits for companies, but at the same time causes the loss of a large number of traditional jobs.
A study by Oxford University suggests that about 47% of jobs in the United States are threatened by automation over the next two decades.
This high percentage raises concerns about the fate of millions of workers who may find themselves unemployed in the near future.
Artificial intelligence.
Social and psychological dimensions of transformation
Besides the economic dimensions, there are social and psychological dimensions that must be taken into account.
Job loss is a threat to social stability, as many individuals and families depend on their jobs for their daily livelihood.
Keeping a large proportion of the workforce jobless can lead to increased rates of poverty and unemployment, putting additional strain on social welfare systems.
Psychologically, job loss can cause mental health problems such as anxiety and depression.
Work is a big part of individuals ’ identity and sense of self-worth.
When people lose their jobs, they may feel empty and lose purpose, leading to a deterioration in their mental state and health.
In addition, older people may have difficulty adapting to technological changes and learning new skills, increasing their sense of helplessness and marginalization.
Challenges and opportunities in education and rehabilitation
To meet this huge challenge, governments and educational institutions must take decisive steps in education and rehabilitation.
Investing in continuing education and training is essential to enable workers to acquire the skills needed to adapt to the demands of a changing labor market.
Customized educational and training programs can develop technical and digital skills, allowing workers to move into new jobs that require advanced skills.
In addition, aseptic intelligence itself can play an important role in improving education and training.
Artificial intelligence technologies can be used to deliver customized learning experiences that meet the needs of individual learners, increasing the effectiveness of the educational process and enhancing the chances of success in acquiring new skills.
The future horizon.
Balance between technology and humanity
Despite the great challenges that AI poses, we must remember that it also represents tremendous opportunities for humanity.
Artificial intelligence can improve many aspects of our lives, from healthcare to transportation to scientific research.
To make the most of these opportunities, we must strike a balance between technological progress and human needs.
It is important to develop policies and laws that ensure that the benefits of AI are distributed fairly and equitably.
Governments must work to create an environment that encourages innovation, while at the same time providing the necessary support to workers affected by automation.
This can be achieved through financial support programs and vocational training, as well as strengthening social safety nets.
Ultimately, AI is both a challenge and a valuable opportunity.
While threatening to lose 300 million jobs, it could also open up new avenues for innovation and economic growth.
To achieve this, we must be prepared to face the economic, social and psychological challenges that this transformation poses.
By investing in education and training, and developing equitable government policies, we can ensure that the future is bright for all, where everyone benefits from the advancement of AI and no one is left behind.
At this crucial moment in human history, we must adopt a holistic approach that combines technological progress and human care, creating a world in which AI is a positive force that enhances the well-being of all.
By doing so, we can turn threats into opportunities, and cross into a better and brighter future.
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What risks did Hinton associate with AI's rapid advancement?

Governments must support workers affected by automation through education and training, and policies and laws must ensure fair AI benefits distribution.

What risks did Hinton associate with AI's rapid advancement?