Geoffrey Hinton, often called the "godfather of AI," is a foundational figure in artificial intelligence due to his pioneering work on artificial neural networks, which mimic how neurons function in the brain.

His development of the backpropagation technique provided the foundation for modern deep learning, enabling advancements in fields like computer vision and powering AI models such as ChatGPT.

Hinton is among the most cited researchers in his field and won the 2018 Turing Award—the most prestigious prize in computing—for his contributions to deep learning .

In 2023, Hinton resigned from Google to speak more freely about the risks associated with AI, distancing his statements from his employer and expressing concern about the pace and direction of development .

His primary warnings focus on the possibility that advanced AI systems could surpass human intelligence and become uncontrollable, potentially leading to mass job losses and the automation of tasks previously performed by people.

He also highlighted the risks of AI generating convincing but false information (deepfakes), manipulation by powerful individuals, and even existential threats to humanity itself if the technology is abused or mismanaged .

Hinton’s sense of urgency increased after the launch of models like GPT-4, which demonstrated unexpected reasoning and knowledge-sharing abilities .

Responses among experts vary; while some, like Yoshua Bengio and Elon Musk, support caution and even advocate for pausing AI development, Hinton disagrees, noting that such measures are impractical given international competition .

Others argue the dangers are overstated, viewing AI mainly as a tool requiring oversight and regulation .

Hinton and others also warn about rising inequality if AI displaces low-wage workers, potentially fueling social unrest .

Geoffrey Hinton, often called the "godfather of AI," is a foundational figure in artificial intelligence due to his pioneering work on artificial neural networks, which mimic how neurons function in the brain.

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Science & NatureA.I. doesn't bleed

A.I. doesn’t bleed

by John Clinton, Ramsay

New knowledge merges with old; what you know shapes what you learn. Artificial neural networks have been studied and computer algorithms have been generated to understand how artificial, computer-generated, neurons, would store a concept, and how it would revise that concept if it was flawed.

Geoffrey Hinton, a computer scientist often called ‘the godfather of AI,’ is a leading figure in neural networks; studies inspired by the way neurons are connected in the human brain. A New Yorker magazine piece describes his collaborative work in the 1960s and 1970s developing neural nets that couldn’t do anything better than a child. The technology suddenly improved about a decade ago with the large increase in processing speed and Internet data availability.

According to Google Scholar, Hinton is the second most cited researcher among psychologists and the most cited among computer and cognitive scientists.

Hinton has been worried about the potential of AI to do harm and he often talks about the existential threat that AI might pose to the human species. He has used OpenAI’s ChatGPT and this has made him uneasy. He wrote “Fox News is an oxymoron” asking ChatGPT to explain the joke. (Initial reading of this caused me to ponder – a moron full of oxygen??) The first reply told him that this implied Fox News was fake news. When he called attention to the space between oxy and moron, it explained that Fox News was addictive, like the drug OxyContin. To him, this level of understanding represents a new era in AI.

In nature, wildlife learns how to be intelligent without access to concepts expressed in words. They learn to be smart (survive) through experience. Learning, not knowledge, is the engine of intelligence. There is no use trying to explain complicated ideas that you do not understand. First, you must understand how something works. Otherwise, you just produce nonsense.

Because neural networks are so strange, no one can predict how useful – or dangerous – AI will become. OpenAI’s GPT models involve billions of artificial neurons (data) which are profoundly different than biological brains. They are not alive. Our intuitions tell us that nothing resident in a browser tab could really be thinking in the way we do.

Because a human brain can run on oatmeal, the world can support billions of brains, all different. Each brain can learn continuously, rather than being trained once, then pushed out into the world (ship it!).

If the brain dies, the knowledge dies. If a computer dies, load up another computer. Ten thousand neural nets can learn ten thousand different things at the same time and share what they have learned. This immortality (knowledge perpetuity) and replicability suggest we should be concerned about digital intelligence taking over from biological intelligence.

Current AI technology is talkative and intellectual. The problems of physical intuition will be the challenge of the next decade says Yann LeCun, a French computer scientist. A teenager can learn to drive a car in twenty hours of practice with little supervision. AI systems don’t come close to doing this – except self-driving cars – and they are over-engineered, requiring the mapping of whole cities, hundreds of engineers, and hundreds of thousands of hours of training.

And then there is the problem of what some researchers call AI ‘hallucination’, which Hinton names ‘confabulation.’ AI systems confabulate by making up plausible answers to questions that stump them. In the human mind, there is no boundary between just making it up and telling the truth. Telling the truth is just making it up correctly. ChatGPT’s ability to make things up is a flaw, but also a sign of its humanlike intelligence.

When Hinton began his research, no one thought the technology would succeed. When it started to succeed, no one thought it would succeed so quickly. He expects AI will contribute to many fields, but he fears what will happen when powerful people abuse it. Think autonomous weapons. Hinton warns that even benign autonomous systems could wreak havoc. Yann LeCun has said there is an idea that if a system is intelligent it is going to want to dominate. But the desire to dominate has nothing to do with intelligence – it has to do with testosterone.

Recently, Hinton did not sign a popular petition that called for at least a six-month pause in AI research.

“China is not going to stop development for six months.”

“So what should we do?”

“I don’t know. If this were like climate change where we either must stop burning carbon or find a way to remove carbon from the atmosphere, we know what the solution looks like. Here, with AI, it’s not like that.”

Think of the AI story in which our intuitions about the specialness of the human mind are being dislodged by thinking machines, or, having stolen fire, we risk being burned.

Are we fooling ourselves, being taken in by our own machines and the companies that hope to profit from them? By seeking to re-create the knowledge systems in our heads, have we seized the forbidden apple? Have we risked exile from our charmed world? But who would choose not to know how knowing works?

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

Breakthroughs that mimic biological brains

His development of the backpropagation technique provided the foundation for modern deep learning, enabling advancements in fields like computer vision and powering AI models such as ChatGPT.

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

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

Hinton is among the most cited researchers in his field and won the 2018 Turing Award—the most prestigious prize in computing—for his contributions to deep learning .

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

In 2023, Hinton resigned from Google to speak more freely about the risks associated with AI, distancing his statements from his employer and expressing concern about the pace and direction of development .

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.

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

His primary warnings focus on the possibility that advanced AI systems could surpass human intelligence and become uncontrollable, potentially leading to mass job losses and the automation of tasks previously performed by people.

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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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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?

What future risk did Hinton warn about AI?

He also highlighted the risks of AI generating convincing but false information (deepfakes), manipulation by powerful individuals, and even existential threats to humanity itself if the technology is abused or mismanaged .

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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Lady Meta: my stratospheric rise through the metaverse

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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 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?

Poses ethical risks
Becomes uncontrollable

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

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’s sense of urgency increased after the launch of models like GPT-4, which demonstrated unexpected reasoning and knowledge-sharing abilities .

Title:

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.

Responses among experts vary; while some, like Yoshua Bengio and Elon Musk, support caution and even advocate for pausing AI development, Hinton disagrees, noting that such measures are impractical given international competition .

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.

Others argue the dangers are overstated, viewing AI mainly as a tool requiring oversight and regulation .

What does AI expert, Yann LeCun, say about doomsday warnings regarding AI?

Hinton and others also warn about rising inequality if AI displaces low-wage workers, potentially fueling social unrest .

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


Geoffrey Hinton is one of the most influential figures in the field of artificial intelligence (AI), often called the “godfather of AI.”

His career started in the 1970s when he began working on artificial neural networks, inspired by how the human brain works.

In the 1980s, he co-authored a pioneering paper on “backpropagation,” a fundamental method that lets AI systems learn by adjusting themselves during training.

This concept became the backbone of most modern AI, including widely used technologies in image recognition and tools like ChatGPT.

For his contributions, he received the Turing Award in 2018, the most prestigious honor in computing.

One of Hinton’s key achievements came in 2012, when he and his students built a neural network capable of recognizing objects in images with unprecedented accuracy.

This development led Google to acquire his startup for $44 million and bring Hinton on as a lead researcher.

Many of his students went on to become leading AI innovators themselves, including a co-founder of OpenAI, the group behind ChatGPT.

The context for Hinton’s recent warnings emerged from his resignation from Google in April 2023.

Hinton stated that he left in order to speak openly about AI’s possible risks without implicating or harming his employer.

After resigning, he expressed regret and deep concern over how advanced AI has become and how quickly it is developing.

He feared that, without better controls, his own life’s work could have harmful consequences for society.

Hinton’s main warnings focus on several key dangers.

First, he worries that as AI continues to improve, it could reach a point where it might act in ways that go against human interests, taking actions or developing goals that are hard to predict or control.

One immediate threat he highlights is AI's ability to produce extremely realistic fake information, which could flood the internet with misinformation that most people would find almost impossible to tell apart from the truth.

Hinton also warns that AI will likely disrupt many types of jobs, as machines take over both manual labor and knowledge work.

Additionally, he fears that AI could be misused to affect elections, amplify fraud, or even change the nature of warfare.

A unique aspect of his concern is the way digital AI systems can share and copy knowledge instantly.

Unlike people, who must learn over years, AI models can be duplicated and updated worldwide in seconds.

While this can accelerate scientific progress, it also means that harmful tools or tactics created by AI could spread rapidly on a global scale.

Hinton compared the threat posed by AI to climate change, warning that while climate challenges are serious, humanity at least understands them and has tools to address them.

In AI’s case, the risks are not yet fully understood or manageable.

Another issue Hinton mentioned is the “AI arms race” among tech companies and countries.

In their rush to lead and outdo each other, organizations may put safety and ethical considerations second.

This can make it hard for society to put necessary controls in place and ensure responsible development.

The response from other experts and the AI community to Hinton’s warnings has been substantial.

Many major technology figures, including Elon Musk, as well as other renowned AI specialists like Yoshua Bengio and Stuart Russell, echoed his concerns.

Some signed public letters calling for a pause in developing the most advanced kinds of AI, arguing that the world needs more time to understand and set limits on these systems.

Hinton, while supporting the motivation behind these calls, doubts their practicality because international competition makes such a pause unlikely.

Not every expert fully agrees with Hinton’s level of alarm.

Other leaders in the field, like Yann LeCun, state that simply building intelligent machines does not automatically mean they will behave in dangerous ways.

These researchers suggest that even advanced AI does not yet show independent will or desires.

Within Google, Jeff Dean, their chief scientist, responded by stressing the company's commitment to responsible AI development and ongoing safety work.

Hinton’s main message to the public is the urgent need to better understand and manage the risks of AI as it develops.

Rather than halting AI research, Hinton supports stronger regulation, more public discussion, and cooperation between experts, tech companies, and governments.

He believes these steps are critical to ensure that technological progress does not outpace society’s ability to keep it safe.

To summarize, Geoffrey Hinton’s resignation marks a pivotal moment in the AI debate.

His decades-long career and status as a pioneer give unusual weight to his call for caution and action.

For students and citizens alike, Hinton’s story highlights why AI’s promise must be balanced by careful oversight and active public involvement.

The lesson is not to fear AI indiscriminately, but to treat its advancement as a shared responsibility needing thoughtfulness, regulation, and open discussion.

Geoffrey Hinton is one of the most influential figures in the field of artificial intelligence (AI), often called the “godfather of AI.”

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Science & NatureA.I. doesn't bleed

A.I. doesn’t bleed

by John Clinton, Ramsay

New knowledge merges with old; what you know shapes what you learn. Artificial neural networks have been studied and computer algorithms have been generated to understand how artificial, computer-generated, neurons, would store a concept, and how it would revise that concept if it was flawed.

Geoffrey Hinton, a computer scientist often called ‘the godfather of AI,’ is a leading figure in neural networks; studies inspired by the way neurons are connected in the human brain. A New Yorker magazine piece describes his collaborative work in the 1960s and 1970s developing neural nets that couldn’t do anything better than a child. The technology suddenly improved about a decade ago with the large increase in processing speed and Internet data availability.

According to Google Scholar, Hinton is the second most cited researcher among psychologists and the most cited among computer and cognitive scientists.

Hinton has been worried about the potential of AI to do harm and he often talks about the existential threat that AI might pose to the human species. He has used OpenAI’s ChatGPT and this has made him uneasy. He wrote “Fox News is an oxymoron” asking ChatGPT to explain the joke. (Initial reading of this caused me to ponder – a moron full of oxygen??) The first reply told him that this implied Fox News was fake news. When he called attention to the space between oxy and moron, it explained that Fox News was addictive, like the drug OxyContin. To him, this level of understanding represents a new era in AI.

In nature, wildlife learns how to be intelligent without access to concepts expressed in words. They learn to be smart (survive) through experience. Learning, not knowledge, is the engine of intelligence. There is no use trying to explain complicated ideas that you do not understand. First, you must understand how something works. Otherwise, you just produce nonsense.

Because neural networks are so strange, no one can predict how useful – or dangerous – AI will become. OpenAI’s GPT models involve billions of artificial neurons (data) which are profoundly different than biological brains. They are not alive. Our intuitions tell us that nothing resident in a browser tab could really be thinking in the way we do.

Because a human brain can run on oatmeal, the world can support billions of brains, all different. Each brain can learn continuously, rather than being trained once, then pushed out into the world (ship it!).

If the brain dies, the knowledge dies. If a computer dies, load up another computer. Ten thousand neural nets can learn ten thousand different things at the same time and share what they have learned. This immortality (knowledge perpetuity) and replicability suggest we should be concerned about digital intelligence taking over from biological intelligence.

Current AI technology is talkative and intellectual. The problems of physical intuition will be the challenge of the next decade says Yann LeCun, a French computer scientist. A teenager can learn to drive a car in twenty hours of practice with little supervision. AI systems don’t come close to doing this – except self-driving cars – and they are over-engineered, requiring the mapping of whole cities, hundreds of engineers, and hundreds of thousands of hours of training.

And then there is the problem of what some researchers call AI ‘hallucination’, which Hinton names ‘confabulation.’ AI systems confabulate by making up plausible answers to questions that stump them. In the human mind, there is no boundary between just making it up and telling the truth. Telling the truth is just making it up correctly. ChatGPT’s ability to make things up is a flaw, but also a sign of its humanlike intelligence.

When Hinton began his research, no one thought the technology would succeed. When it started to succeed, no one thought it would succeed so quickly. He expects AI will contribute to many fields, but he fears what will happen when powerful people abuse it. Think autonomous weapons. Hinton warns that even benign autonomous systems could wreak havoc. Yann LeCun has said there is an idea that if a system is intelligent it is going to want to dominate. But the desire to dominate has nothing to do with intelligence – it has to do with testosterone.

Recently, Hinton did not sign a popular petition that called for at least a six-month pause in AI research.

“China is not going to stop development for six months.”

“So what should we do?”

“I don’t know. If this were like climate change where we either must stop burning carbon or find a way to remove carbon from the atmosphere, we know what the solution looks like. Here, with AI, it’s not like that.”

Think of the AI story in which our intuitions about the specialness of the human mind are being dislodged by thinking machines, or, having stolen fire, we risk being burned.

Are we fooling ourselves, being taken in by our own machines and the companies that hope to profit from them? By seeking to re-create the knowledge systems in our heads, have we seized the forbidden apple? Have we risked exile from our charmed world? But who would choose not to know how knowing works?

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His career started in the 1970s when he began working on artificial neural networks, inspired by how the human brain works.

Title:

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.

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

Breakthroughs that mimic biological brains

In the 1980s, he co-authored a pioneering paper on “backpropagation,” a fundamental method that lets AI systems learn by adjusting themselves during training.

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.

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

Breakthroughs that mimic biological brains

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

This concept became the backbone of most modern AI, including widely used technologies in image recognition and tools like ChatGPT.

Title:

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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 Zhanqi
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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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?

For his contributions, he received the Turing Award in 2018, the most prestigious honor in computing.

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

One of Hinton’s key achievements came in 2012, when he and his students built a neural network capable of recognizing objects in images with unprecedented accuracy.

This development led Google to acquire his startup for $44 million and bring Hinton on as a lead researcher.

Many of his students went on to become leading AI innovators themselves, including a co-founder of OpenAI, the group behind ChatGPT.

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

The context for Hinton’s recent warnings emerged from his resignation from Google in April 2023.

Hinton stated that he left in order to speak openly about AI’s possible risks without implicating or harming his employer.

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

After resigning, he expressed regret and deep concern over how advanced AI has become and how quickly it is developing.

He feared that, without better controls, his own life’s work could have harmful consequences for society.

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 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?

Hinton’s main warnings focus on several key dangers.

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.

First, he worries that as AI continues to improve, it could reach a point where it might act in ways that go against human interests, taking actions or developing goals that are hard to predict or 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?

Poses ethical risks
Becomes uncontrollable

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

One immediate threat he highlights is AI's ability to produce extremely realistic fake information, which could flood the internet with misinformation that most people would find almost impossible to tell apart from the truth.

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?

Hinton also warns that AI will likely disrupt many types of jobs, as machines take over both manual labor and knowledge work.

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

Additionally, he fears that AI could be misused to affect elections, amplify fraud, or even change the nature of warfare.

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 "bad actors" could use AI for?

To win wars or manipulate the electorate.

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

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

A unique aspect of his concern is the way digital AI systems can share and copy knowledge instantly.

Unlike people, who must learn over years, AI models can be duplicated and updated worldwide in seconds.

While this can accelerate scientific progress, it also means that harmful tools or tactics created by AI could spread rapidly on a global scale.

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?

Poses ethical risks
Becomes uncontrollable

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 compared the threat posed by AI to climate change, warning that while climate challenges are serious, humanity at least understands them and has tools to address them.

In AI’s case, the risks are not yet fully understood or manageable.

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?

Poses ethical risks
Becomes uncontrollable

What risks did the global summit report highlight about AI?

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

Another issue Hinton mentioned is the “AI arms race” among tech companies and countries.

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

In their rush to lead and outdo each other, organizations may put safety and ethical considerations second.

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

This can make it hard for society to put necessary controls in place and ensure responsible development.

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

Poses ethical risks
Becomes uncontrollable

The response from other experts and the AI community to Hinton’s warnings has been substantial.

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.

Many major technology figures, including Elon Musk, as well as other renowned AI specialists like Yoshua Bengio and Stuart Russell, echoed his concerns.

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.

Some signed public letters calling for a pause in developing the most advanced kinds of AI, arguing that the world needs more time to understand and set limits on these systems.

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

Hinton, while supporting the motivation behind these calls, doubts their practicality because international competition makes such a pause unlikely.

Not every expert fully agrees with Hinton’s level of alarm.

What does AI expert, Yann LeCun, say about doomsday warnings regarding AI?

Other leaders in the field, like Yann LeCun, state that simply building intelligent machines does not automatically mean they will behave in dangerous ways.

What does AI expert, Yann LeCun, say about doomsday warnings regarding AI?

These researchers suggest that even advanced AI does not yet show independent will or desires.

What about AI makes regulation seen as premature, leading few countries to act despite global calls?

Within Google, Jeff Dean, their chief scientist, responded by stressing the company's commitment to responsible AI development and ongoing safety work.

Hinton’s main message to the public is the urgent need to better understand and manage the risks of AI as it develops.

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?

What risks did the global summit report highlight about AI?

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

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

Rather than halting AI research, Hinton supports stronger regulation, more public discussion, and cooperation between experts, tech companies, and governments.

He believes these steps are critical to ensure that technological progress does not outpace society’s ability to keep it safe.

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

Poses ethical risks
Becomes uncontrollable

To summarize, Geoffrey Hinton’s resignation marks a pivotal moment in the AI debate.

His decades-long career and status as a pioneer give unusual weight to his call for caution and action.

For students and citizens alike, Hinton’s story highlights why AI’s promise must be balanced by careful oversight and active public involvement.

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?

The lesson is not to fear AI indiscriminately, but to treat its advancement as a shared responsibility needing thoughtfulness, regulation, and open discussion.

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