Among AI experts, there are notable differences in how to address the risks Geoffrey Hinton highlighted.

Prominent figures like Elon Musk and Yoshua Bengio called for a six-month pause on advanced AI development to allow time for establishing safety standards.

Hinton, however, rejected a total halt, arguing that other countries would likely continue developing AI regardless, rendering such a moratorium globally ineffective.

Instead, he urges increased regulation, transparency, and greater public understanding of AI risks.

Meanwhile, tech leaders such as Microsoft’s Chief Scientific Officer Eric Horvitz and OpenAI CEO Sam Altman support intensified investment in research to improve AI safety measures and development of regulatory frameworks, emphasizing that innovation should continue alongside responsible oversight.

This illustrates an ongoing debate in the AI community about balancing the urgency of innovation with the need for caution and ethical safeguards .

Regarding job displacement, Hinton and others identify white-collar roles involving routine or repetitive tasks as particularly vulnerable to AI automation.

Sectors such as administrative work, customer service, and clerical positions are at risk of being automated, potentially leading to significant employment shifts.

For example, AI-powered chatbots and virtual assistants can handle many customer inquiries, reducing the need for human operators.

One researcher described AI as a "serf" to humans, noting that while AI can assume execution of menial or production tasks, humans remain responsible for oversight, decisions, and complex creative work.

This analogy helps frame AI not solely as a threat but also as a tool that can augment human work if managed properly .

A concrete example illustrating concerns about AI-generated misinformation is the emergence of "deepfakes"—manipulated videos or images that falsely represent real individuals.

Early, high-profile deepfakes included fabricated footage of political figures like Barack Obama and Donald Trump, which appeared strikingly realistic but were entirely artificial.

This technology enables misinformation to spread rapidly, eroding public trust in legitimate media sources and posing risks to democratic institutions.

Similarly, AI language models such as ChatGPT have been criticized for generating plausible but factually incorrect statements, known as "hallucinations," complicating efforts to discern accurate information online and fueling fears about AI’s role in misinformation .

One important development addressing some of these concerns is the move toward independent testing of AI systems prior to their public release.

This process involves third-party experts, security researchers, and ethical hackers evaluating AI models to identify vulnerabilities, biases, safety risks, and inaccuracies.

For instance, at the DEF CON 31 cybersecurity conference in August 2023, leading AI companies—including OpenAI, Google, Microsoft, and Stability AI—agreed to have their AI models subjected to public and independent scrutiny.

Independent testing improves transparency, exposes potential dangers, and helps companies fix issues to make AI more robust and trustworthy, a critical step as these systems become widely embedded in society .

Beyond following expert debates and technology developments, students and the public can actively engage with the AI dialogue in constructive ways.

Education is a foundational step; increasing AI literacy allows individuals to understand AI’s capabilities and limitations, develop critical thinking skills to assess AI-generated content, and appreciate broader societal impacts.

Additionally, participating in policy advocacy and democratic processes to promote responsible AI governance is vital.

By supporting transparency, fairness, safety standards, and ethical AI regulation, people can influence how AI technologies develop and are integrated, helping to mitigate risks while harnessing benefits.

This dual approach—education and active civic engagement—empowers students to contribute meaningfully to shaping AI’s future .

In summary, Geoffrey Hinton’s resignation and public warnings serve as a critical moment in AI’s history, highlighting the urgent challenges posed by rapidly advancing AI technologies.

His distinguished career and foundational scientific contributions lend credibility to his concerns about AI’s societal impacts, from job displacement and misinformation to potential existential risks.

The diverse responses from experts reflect a dynamic balancing act between encouraging innovation and imposing necessary safeguards.

Public concerns have spurred governmental reviews and calls for regulation, with commitments to transparency such as independent AI testing underway.

For students and the broader public, understanding these developments and engaging through education and advocacy are key to navigating AI’s complex future responsibly.

Among AI experts, there are notable differences in how to address the risks Geoffrey Hinton highlighted.

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The godfather of AI leaves Google worried that artificial intelligence will fall into the wrong hands
The US media reported today that Hinton, known as the “godfather of AI ”, resigned his job at Google and openly talked about the risks of AI, worried that AI would fall into the wrong hands.
He says it ’ s hard to see how to prevent bad people from using it to do bad things.
Geoffrey Hinton, who laid the groundwork for artificial intelligence (AI) systems, told The New York Times that advances in AI pose “great risks to society and humanity. ”
In a report published today in The New York Times, Hinton was quoted as saying, “Look at how it looked five years ago and now, the difference and growth, it ’ s really scary. ”
Hinton pointed out that competition among tech giants is driving these companies to release new AI technologies at a dangerous rate, which will endanger people ’ s jobs and spread misinformation.
"It's hard to see how you can prevent bad people from using AI to do bad things," he told the New York Times.
OpenAI, the startup behind Google and now the most powerful AI chatbot, ChatGPT, began developing systems with more data than ever before in 2022.
Hinton told the New York Times that he believes these systems are surpassing human intelligence in some ways because of the sheer volume of data they analyze.
"Perhaps these systems are already more powerful than the human brain," he said.
While AI has been used to support human needs for work, the rapid development of chatbots like ChatGPT could leave human jobs in jeopardy.
He told the New York Times that AI was “taking on a chore, ” but that“ it ’ s probably going to do more than that. ”
Hinton also warned that AI could spread the wrong message, telling the New York Times that the average person would “never know what ’ s true again. ”
According to the New York Times, Hinton submitted his resignation to Google last month.
Google ’ s head of AI, Jeff Dean, expressed his gratitude to Hinton in a statement to the US media.
“As one of the first companies to publish AI principles, we remain committed to taking a responsible approach to AI, ” the statement added.
“While we innovate boldly, we are constantly discovering new risks. ”
Tech billionaire Elon Musk and many experts have called for a pause in the development of AI systems to allow time to ensure the technology is safe.
After the introduction of GPT-4, which is more powerful than the AI used by ChatGPT, Musk and Apple co-founder Steve Wozniak signed an open letter.
Hinton, who was not involved in the petition, told the New York Times that scientists should not “further scale research and development ” until they understood if they could control AI.
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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.

Prominent figures like Elon Musk and Yoshua Bengio called for a six-month pause on advanced AI development to allow time for establishing safety standards.

What did the open letter signed by thousands, including Elon Musk, call for in response to AI risks highlighted by Hinton?

Six-month pause on AI systems more powerful than GPT-4

Hinton, however, rejected a total halt, arguing that other countries would likely continue developing AI regardless, rendering such a moratorium globally ineffective.

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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. ”
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Instead, he urges increased regulation, transparency, and greater public understanding of AI risks.

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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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Meanwhile, tech leaders such as Microsoft’s Chief Scientific Officer Eric Horvitz and OpenAI CEO Sam Altman support intensified investment in research to improve AI safety measures and development of regulatory frameworks, emphasizing that innovation should continue alongside responsible oversight.

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UK and US intervene amid AI industry’s rapid advances

Competition and Markets Authority sends ‘pre-warning’ to sector, while White House announces measures to address risks

The UK and US have intervened in the race to develop ever more powerful artificial intelligence technology, as the British competition watchdog launched a review of the sector and the White House advised tech firms of their fundamental responsibility to develop safe products.

Regulators are under mounting pressure to intervene, as the emergence of AI-powered language generators such as ChatGPT raises concerns about the potential spread of misinformation, a rise in fraud and the impact on the jobs market, with Elon Musk among nearly 30,000 signatories to a letter published last month urging a pause in significant projects.

The UK Competition and Markets Authority (CMA) said on Thursday it would look at the underlying systems – or foundation models – behind AI tools. The initial review, described by one legal expert as a “pre-warning” to the sector, will publish its findings in September.

On the same day, the US government announced measures to address the risks in AI development, as Kamala Harris, the vice-president, met chief executives at the forefront of the industry’s rapid advances. In a statement, the White House said firms developing the technology had a “fundamental responsibility to make sure their products are safe before they are deployed or made public”.

The meeting capped a week during which a succession of scientists and business leaders issued warnings about the speed at which the technology could disrupt established industries. On Monday, Geoffrey Hinton, the “godfather of AI”, quit Google in order to speak more freely about the technology’s dangers, while the UK government’s outgoing scientific adviser, Sir Patrick Vallance, urged ministers to “get ahead” of the profound social and economic changes that could be triggered by AI, saying the impact on jobs could be as big as that of the Industrial Revolution.

Sarah Cardell said AI had the potential to “transform” the way businesses competed, but that consumers must be protected.

The CMA chief executive said: “AI has burst into the public consciousness over the past few months but has been on our radar for some time. It’s crucial that the potential benefits of this transformative technology are readily accessible to UK businesses and consumers while people remain protected from issues like false or misleading information.”

ChatGPT and Google’s rival Bard service are prone to delivering false information in response to users’ prompts, while concerns have been raised about AI-generated voice scams. The anti-misinformation outfit NewsGuard said this week that chatbots pretending to be journalists were running almost 50 AI-generated “content farms”. Last month, a song featuring fake AI-generated vocals purporting to be Drake and the Weeknd was pulled from streaming services.

The CMA review will look at how the markets for foundation models could evolve, what opportunities and risks there are for consumers and competition, and formulate “guiding principles” to support competition and protect consumers.

The leading players in AI are Microsoft, ChatGPT developer OpenAI – in which Microsoft is an investor – and Google parent Alphabet, which owns a world-leading AI business in UK-based DeepMind, while leading AI startups include Anthropic and Stability AI, the British company behind Stable Diffusion.

Alex Haffner, competition partner at the UK law firm Fladgate, said: “Given the direction of regulatory travel at the moment and the fact the CMA is deciding to dedicate resource to this area, its announcement must be seen as some form of pre-warning about aggressive development of AI programmes without due scrutiny being applied.”

In the US, Harris met the chief executives of OpenAI, Alphabet and Microsoft at the White House, and outlined measures to address the risks of unchecked AI development. In a statement following the meeting, Harris said she told the executives that “the private sector has an ethical, moral, and legal responsibility to ensure the safety and security of their products”.

The administration said it would invest $140m (£111m) in seven new national AI research institutes, to pursue artificial intelligence advances that are “ethical, trustworthy, responsible, and serve the public good”. AI development is dominated by the private sector, with the tech industry producing 32 significant machine-learning models last year, compared with three produced by academia.

Leading AI developers have also agreed to their systems being publicly evaluated at this year’s Defcon 31 cybersecurity conference. Companies that have agreed to participate include OpenAI, Google, Microsoft and Stability AI.

“This independent exercise will provide critical information to researchers and the public about the impacts of these models,” said the White House.

Robert Weissman, the president of the consumer rights non-profit Public Citizen, praised the White House’s announcement as a “useful step” but said more aggressive action is needed. Weissman said this should including a moratorium on the deployment of new generative AI technologies, the term for tools such as ChatGPT and Stable Diffusion.

“At this point, Big Tech companies need to be saved from themselves. The companies and their top AI developers are well aware of the risks posed by generative AI. But they are in a competitive arms race and each believes themselves unable to slow down,” he said.

The EU was also told on Thursday that it must protect grassroots AI research or risk handing control of the technology’s development to US firms.

In an open letter coordinated by the German research group Laion – or Large-scale AI Open Network – the European parliament was told that one-size-fits-all rules risked eliminating open research and development.

“Rules that require a researcher or developer to monitor or control downstream use could make it impossible to release open-source AI in Europe,” which would “entrench large firms” and “hamper efforts to improve transparency, reduce competition, limit academic freedom, and drive investment in AI overseas”, the letter said.

“Europe cannot afford to lose AI sovereignty. Eliminating open-source R&D will leave the European scientific community and economy critically dependent on a handful of foreign and proprietary firms for essential AI infrastructure.”

The largest AI efforts, by companies such as OpenAI and Google, are heavily controlled by their creators. It is impossible to download the model behind ChatGPT, for instance, and the paid-for access that OpenAI provides to customers comes with a number of legal and technical restrictions on how it can be used. By contrast, open-source efforts involve creating a model and then releasing it for anyone to use, improve or adapt as they see fit.

“We are working on open-source AI because we think that sort of AI will be more safe, more accessible and more democratic,” said Christoph Schuhmann, the organisational lead at Laion.

More on this story

More on this story

  • US aims to tackle risk of uncontrolled race to develop AI

  • EU urged to protect grassroots AI research or risk losing out to US

  • UK competition watchdog launches review of AI market

  • AI ‘could be as transformative as Industrial Revolution’

  • Chatbot ‘journalists’ found running almost 50 AI-generated content farms

  • ‘Godfather of AI’ Geoffrey Hinton quits Google and warns over dangers of misinformation

  • AI has better ‘bedside manner’ than some doctors, study finds

  • Fresh concerns raised over sources of training material for AI systems

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This illustrates an ongoing debate in the AI community about balancing the urgency of innovation with the need for caution and ethical safeguards .

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Content: In the fall of 2013, Ian Goodfellow and his university lab partner held a farewell party at the bar.
Everyone took their seats and started pouring beer.
After three rounds of drinking, Goodfellow was already slightly intoxicated, and the group of researchers began to debate what was the best way to create a machine that could create a realistic picture of itself.
They knew they could train a set of neural networks to recognize images and then reverse them to produce them.
But it can only produce some fine, photo-like images, and the results are unconvincing.
But Goodfellows have an idea.
They can perform statistical analysis of images generated by neural networks — identifying the frequency, brightness, and relationship of specific pixels to other pixels.
The results of these analyses are then compared with real photos, which shows where the neural network went wrong.
The problem is that they don ’ t know how to encode this data into their systems — which can take billions of counts.
Goodfellow offers a completely different solution.
What they should do, he explained, is build a set of neural networks that can learn from another set of neural networks.
The first neural network creates an image that tries to trick the second neural network into thinking it ’ s real.
The second set points out the first set of errors, and the first set continues to try deception, and it starts again and again.
He said that if the two sets of opposing neural networks had been facing each other long enough, they would have been able to make realistic images.
But Goodfellow's friends do not agree.
They say the idea is worse than theirs.
At the same time, if he hadn ’ t been a little drunk, Goodfellow might have felt the same way.
“It ’ s hard enough to train one neural network, ” a sober Goodfellow might say.“ You can ’ t train another neural network in a neural network that ’ s learning algorithms. ”
At the time, however, he was fully convinced that it could be done.
When he returned to his apartment that night, he sat at his bedside table in the dark, still slightly intoxicated, with the light of his laptop screen reflected on his face.
“My friend is wrong! ” he kept telling himself, while piecing together what he called two sets of adversarial neural networks with old code from other projects, and began training the new device with hundreds of photos.
After a few hours, it began to show the performance he expected.
The resulting image is small, like a nail, and there is some blur.
But they look just like the photos.
He later said he was totally lucky.
“If it doesn ’ t work, I might give up, ” he later called it“ generative adversarial networks ” (GANs) in a paper that published the concept.
Since then, he has become the “father of GAN ” in the global AI research community.
He officially joined Google in the summer of 2014, when he was already actively promoting GAN, emphasizing that it would help accelerate AI research and development.
When he explains the concept, he often uses Richard.
Feynman for example.
Feynman once wrote on a classroom blackboard: “What I can ’ t create, I don ’ t understand. ”
Goodfellow believes that Feynman ’ s dictum applies to machines in addition to humans: what artificial intelligence cannot create, it does not understand.
They point out that creation can help machines understand the world around them.
“If AI can imagine the world in realistic detail — being able to learn how to imagine realistic images and realistic sounds — it can encourage AI to learn about the structure of the real world, ” says Goodfellow.“ It can help AI understand the images it sees and the sounds it hears. ”
Like speech, image recognition, and machine translation, GAN represents a big step forward in deep learning.
Or at least that ’ s what deep learning researchers think.
Yann LeCun, director of Facebook ’ s Artificial Intelligence Research Center, praised GAN in 2016 as “the coolest concept in deep learning in nearly two decades. ”
Goodfellow ’ s achievements inspired many projects around his concept, either to improve it, to build on it, or to challenge it. Researchers at the University of Wyoming built a system that produced small but perfect images of insects, churches, volcanoes, restaurants, canyons, and banquet halls.
A research team at NVIDIA is building a neural network that can transform a photographic image of a hot summer day into a dead winter day.
A team at the University of California, Berkeley, has designed a system that transforms images of horses into zebras, turning Monet ’ s paintings into Van Gogh ’ s.
These are the most popular and interesting R & D projects in science and technology and academia.
But at that moment, the world changed dramatically.
In November 2016, Donald Trump won the US presidential election.
American life and international politics have changed dramatically, and artificial intelligence is hard to escape.
Almost immediately, the government began to crack down on concerns about the flow of talent caused by immigration.
The number of international students studying in the United States has been declining, and now it has fallen sharply, and the American science and mathematics community, which relies heavily on foreign talent, is beginning to suffer.
“We ’ re shooting ourselves in the head, ” said the CEO of Seattle ’ s renowned Allen Institute for Artificial Intelligence.“ We ’ re not shooting in the foot, we ’ re shooting in the head. ”
Some big companies are already expanding their overseas R & D operations. Facebook has set up laboratories in Montreal and in his hometown of Paris.
The threat posed by the Trump administration ’ s immigration policies became apparent in April 2017, just three months after he took office.
Meanwhile, Geoffrey Hinton, the “father of the deep learning movement, ” helped found the Vector Institute for Artificial Intelligence.
It is a research and development incubator in Toronto with $130 million in funding, including contributions from U.S. tech giants such as Google and Vinda.
In addition, Canadian Prime Minister Justin Trudeau has pledged $93 million to support AI R & D centers in Toronto, Montreal and Edmonton.
Sara Sabour, a young researcher, is a key partner in Hinton, and her career illustrates just how politically sensitive international aspects of AI can be. In 2013, after completing computer science at the Sharif University of Technology in Iran, Sabour applied to the University of Washington to study computer vision and other aspects of artificial intelligence. Wisdom, the school accepted her application.
But the U.S. government refused to grant her a visa, apparently because she grew up and studied in Iran, and her field of study, computer vision, is also potential military and security technology.
The following year, she successfully enrolled at the University of Toronto and followed Hinton to Google.
Meanwhile, the Trump administration continues to block immigrants from entering the United States.
“It looks like American companies are benefiting now, ” Adam.
Adam Segal, an expert on emerging technologies and national security at the Council on Foreign Relations, said, “But in the long run, neither technology nor jobs will be realized in the United States. ”
But the relocation of talent is not yet the biggest change Trump has made in the White House.
Since the end of the election, the domestic media has begun to question the impact of online fake information on the election results, causing the public to worry about "fake news".
In an initial attempt to allay such concerns, Zuckerberg, in a public appearance in Silicon Valley a few days after the election, downplayed the idea that voters were being influenced by fake news as a “pretty crazy idea. ”
But many journalists, lawmakers, celebrities and citizens disagree.
In fact, this problem was rampant during the election, especially on Facebook ’ s social network, where tens of thousands, if not millions, of netizens shared fake stories with titles such as “FBI agent suspected of Hillary Clinton ’ s email leak was found dead and apparently committed suicide after murder ” or“ Pope Francis supports Trump ’ s presidential campaign to shock the world. ” A Russian company with close ties to the Kremlin paid more than $100,000 to buy online ads on 470 fake accounts and pages, spreading false information about race, gun control, gay rights and immigration.
At the same time, public concerns are projected onto GAN and other related technologies, bringing them into the spotlight with a completely different look from the past: these technologies appear to be conduits for generating fake news.
However, research by artificial intelligence scientists at the time was entirely fueling this view.
A team at the University of Washington used the neural network to create a video of Obama speaking.
Engineers at a Chinese startup used the same technology to make Trump speak Chinese.
The fake images are not new.
Since the invention of photography, people have used technology to fake photos.
But because modern deep learning can self-learn these jobs — or at least part of them — they make such edits easier.
Politicians and activists, nation-states, social activists, and dissidents don ’ t need to hire large numbers of people to create and distribute fake images and videos. They can do this automatically by building a neural network.
AI ’ s image manipulation potential is still months away from being fully realized during the US presidential election.
At the time, GANs could only produce images the size of a nail, and putting words into the mouths of politicians still required rare expertise, not to mention other hard work.
But a year after Trump ’ s victory, a team at the Finnish lab developed a new GAN, called a “progressive GAN, ” that uses a network of antagonistic neurons to create realistic-sized images of plants, horses, buses, and bicycles that can be virtually unreal.
But the most important thing about this technology is that it can create a human face.
After analyzing thousands of celebrity photos, the system can create an image of a person who looks like a celebrity but isn ’ t — a face that looks like Jennifer Aniston or Selena Gomez, but isn ’ t actually a real person.
These created faces look like real people, with their own wrinkles, pores, shadows, and even personalities.
“The technology is moving so fast, ” says Phillip Isola, a professor at MIT who helped develop it.“ It started out like, ‘ Well, this is an interesting academic question, you can ’ t use it to make fake news, it can only produce something that ’ s slightly ambiguous.
And it turns out, “Oh, you can really make a face that ’ s as real as a photo. ”
""
A few days after the announcement of the new technology, Goodfellow spoke in a small conference room in Boston, minutes before a reporter asked him what the technology meant.
He noted that he knew that anyone could already use Photoshop to create fake images, but stressed that the point was to make the job easier.
“We are accelerating what is already possible.
"He said.
He explained that with the improvement of these methods, the era of “drawing and truth ” will also come to an end.
“Historically, it ’ s a bit of a fluke that we can rely on video as evidence that something has happened, ” he said.“ We used to look at a thing based on who said it, who had the motivation to say it, who had the credibility, who didn ’ t.
Now it looks like we ’ re going back to that era. ” But there ’ s going to be a difficult transition in the middle.
“Unfortunately, people today don ’ t think critically.
At the same time, people tend to think from ethnic consciousness about who has credibility and who does not.
It also means that there will be at least a period of adjustment.
“Artificial intelligence has opened many doors for us that we haven ’ t opened.
We don ’ t know what ’ s on the other side of the door, ” he says. “But in this technology, it ’ s more like artificial intelligence closing doors that our generation is used to opening. ”
The adjustment period began almost immediately when someone, calling themselves Deepfakes, began to clip images of celebrities into pornographic videos and then upload them online.
The anonymous prankster later made available the apps that worked out the tricks, and the videos immediately popped up on discussion boards, social networks, and video sites like YouTube.
Platforms such as Pornhub, Reddit and Twitter rushed to ban this behavior, but this operation and related concepts have infiltrated into mainstream media.
“Deep Forgery ” has also become a term that refers to any artificially created video that is distributed online.
(This article is excerpted from “The Secret That AI Manufacturers Don ’ t Tell ” / Times Publishing)
The AI genius we have built can already defeat the genius of humanity.
Where should we let AI evolve?
When there are conflicts between national interests, shareholder values, scientific ideas, and personal security, how do companies with epoch-making technology choose?
The first article focused on AI scientists reveals the opportunities, limitations and threats of AI from the perspective closest to us. Elon.
Musk believes that artificial intelligence is advancing at an alarming rate, saying: “If scientists develop a system to combat spam, the system may eventually decide that the best way to do this is to destroy the entire human race. ”
But Google ’ s Larry Page and Facebook ’ s Mark Zuckerberg believe that paranoid fears about AI are hindering the realization of a digital utopia. Whether AI development should be monitored or not has become a contentious issue.
Since a scientist who can no longer sit down because of a spinal problem for life, Jeffrey Hinton has ignited a war of talent between Microsoft, Google, Facebook, Baidu and other technology giants.
So far, AI has been closely related to us, in addition to daily applications, but also with military weapons.
Once the development is mature, the scale of military conflict will be far greater than in the past, and the speed of launching will be beyond people's understanding.
But who has the authority to make decisions that affect billions of people?
Who is involved in this decision?
From privacy concerns to military weapons, scientists have been kept in the dark about what their inventions could be used for, and the companies involved have chosen to remain silent.
A powerful tool that can make good or evil.
As we applaud the progress of AI, some threats are also emerging.
by Kate.
Cade Metz
New York Times technology reporter, focusing on artificial intelligence, autonomous vehicles, robotics, virtual reality, quantum computing and other emerging fields.
Prior to The New York Times, he was a senior contributing writer for Wired magazine.
The book is based on interviews he has conducted with more than 400 people during his eight years of AI reporting at Wired and The New York Times, as well as hundreds of interviews he has conducted specifically for the book.
Most of the characters in the book, he interviewed more than once, some even several times.
In order to explain and verify some events and details, he also cited many company and personal data and emails.
Each event and significant detail, such as purchase price, is corroborated by at least two sources, and often more.
[Translator's Profile] Wang Xiaobo
He has worked for many years as the editor and director of the International News Center, the major financial media in China. He is the author of “Wall Street Crash ” and“ Greensben: The World ’ s Most Powerful Central Bank President ” (co-author). "The Wisdom of Leadership".
# Goodfellow # System # World # Deepfakes # Artificial Intelligence

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

Regarding job displacement, Hinton and others identify white-collar roles involving routine or repetitive tasks as particularly vulnerable to AI automation.

Title:

Content: ChatGPT allows the world to see the unlimited potential of artificial intelligence (AI), and as technology giants have laid out the AI market, there are hidden concerns about its loss of control and its impact on the labor market.
Faced with the threat of competitors, Google (Google) actively invested in AI research and development, but at this time, the so-called "AI godfather" of Hunton (Geoffry Hinton) confirmed to leave Google, and the technology is uneasy, the development of AI has exceeded expectations.
As reported by CNN and The Verge, the company founded by Hunton and two students was acquired by Google in 2013. He has been working at Google for about 10 years, mainly engaged in AI research and development, and now one of the students is also the chief scientist of OpenAI.
But as his research into AI deepened, he became concerned about the technology.
“If I don ’ t do it, someone else will do it, ” admits Hunton, who usually persuades himself, but adds that“ it ’ s hard to prevent bad people from using AI to do evil. ”
Hunton said the reason for leaving Google was to talk about the risks of AI without fear, rather than attacking Google, stressing that “the measures Google has taken are very responsible. ”
Hunton warns that some jobs may be replaced by AI, which is moving faster than he and others expect, that science fiction movies are impossible to come true, and even that AI may generate code and run on its own, and that annihilating humans is not unthinkable.
Hunton said that AI can actually evolve smarter than humans. Some people believe this reasoning, but most still think it is far from true. “I thought it would take 30, 50 years or more, but now it ’ s changed. ”
In March this year, Tesla CEO Elon Musk led nearly a thousand technology CEOs and scientists jointly issued an open letter calling for a moratorium on the development of more powerful AI technologies because of the potential risks to society and humanity.
# AI # AI # AI # AI # AI # AI # AI # AI

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

Sectors such as administrative work, customer service, and clerical positions are at risk of being automated, potentially leading to significant employment shifts.

Title:

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

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

For example, AI-powered chatbots and virtual assistants can handle many customer inquiries, reducing the need for human operators.

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

One researcher described AI as a "serf" to humans, noting that while AI can assume execution of menial or production tasks, humans remain responsible for oversight, decisions, and complex creative work.

Title:

Content: Alert
Think Taiwan "old and backward"! North Korean defectors take a high-speed train seconds to change the whole stunned: North Korea really can not compare
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Who ’ s Afraid of AI?
You should treat AI as a “serf ” to work for humans.
Many people are worried about being robbed of their jobs by AI, but Yu Hsiao-hsien, the chief operating officer of the ITRI, said that AI does the production work, and humans are responsible for reviewing the results of AI's work, and should be regarded as an assistant, or even a "serf" responsible for farming in the Middle Ages.
Of course, AI does have some negative effects that can pose challenges.
Yu Xiaoxian said that the first thing is that white collar workers who do not use generative AI may be replaced.
Some people have done experiments, using generative AI consultants can complete 12.2% more tasks than non-users, in other words, with the help of AI, high efficiency and good quality of results.
Secondly, the model parameters and training data of AI are very large, and the training and maintenance costs are very high.
Computing resources are in quantitative pursuit of qualitative change, and feeding data will cost money, not to mention the current public training data is nearly exhausted; some people have calculated that if you want to complete the ChatGPT model training in 1 month, it will cost about $25 million, very expensive, so it is difficult to popularize, but the world is still in a crazy arms race.
In addition, generative AI is too powerful and prone to bias, and can even be “a serious piece of nonsense. ”
Yu Hsiao first gave an example, he asked AI "I want to learn to jump 5 meters high light work", AI actually has a similar way to say a bunch, but also want to know that according to the AI said to do is unable to practice light work.
Another risk is that the data given by AI is true or false, and “false which is not easy to see ” is more troublesome.
For example, I asked ChatGP “Give me five poems of Li Bai ”, and even mixed with Wang Zhiyuan ’ s“ The Sun Is the Mountain ”, which is very easy to make mistakes when it is true or false.
However, the error of AI is not that it cannot be improved, and Yu Xiaoxian said that if the AI is fed the correct data, its capabilities will be greatly increased.
To do a good job of generative AI, there are 4 keys: data, computing power (financial power), talent, and governance.
Yu Hsiao-hsien said that Taiwan lacks people who are willing and can make a name for themselves.
In the European Union, for example, there are many regulations and many talents gathered; in the United States, for example, the industry has a lot of input.
None of these Taiwan has, so Taiwan is still waiting for the “AI leader. ”
From the perspective of the enterprise, training employees to master technology is the best investment!
Yu Xiaoxian said that let AI to produce, let people audit, this is a way to make good use of AI.
He also said that seeing the shortcomings of AI can be ignored first, as long as the advantages of it are used first; because AI has the ability to self-learn, the speed of progress is super fast, today if you can see the shortcomings of AI, it is equivalent to the development opportunity, then the shortcomings will soon not be a disadvantage.
Yu Hsiao-hsien said that the current ecology of Taiwan is to do chips, do servers, these are the bottom end of the computer, after the world's competition, there may be only one or two unique, ranked third in the world has no value.
But AI is not the same, including software platforms and vertical applications, strange and strange, there is a lot of new opportunities and space.
Taiwan does not need to be a generalist during the period, as long as Taiwan needs to be a professional.
However, AI has also aroused great doubts. Geoffrey Hinton, who recently resigned as vice president of Google and is known as the "father of deep learning", once raised the alarm about AI, mainly including two points: whether AI autonomous judgment conforms to human social laws and ethics? Can AI desire be controlled by humans? Hinton also suggested that human society should suspend research and development of AI for half a year. Suggestion.
Yu Xiaoxian believes that AI is the trend, there is no need to exclude AI, and do not want to stop the development of AI, but accept, understand, make good use of AI, and even help AI to add value; on the other hand, we should not rely too much on AI, should regard AI as an "assistant" rather than a "teacher", to be able to judge what AI can do and what cannot do.
Yu Xiaoxian said that Darwin, who proposed the theory of evolution, and Boyle, who is known as the father of chemistry, were both aristocrats and did not work a day, but spent their lives doing brain work, and it was the serfs who helped them grow the fields.
“So we should do our own brain work, treat AI as a serf, and ask AI to plant the fields! ” Worrying that AI will take away human work is like complaining about serfs planting all the fields, which is ridiculous.
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Who ’ s Afraid of AI?
You should treat AI as a “serf ” to work for humans.
Many people are worried about being robbed of their jobs by AI, but Yu Hsiao-hsien, the chief operating officer of the ITRI, said that AI does the production work, and humans are responsible for reviewing the results of AI's work, and should be regarded as an assistant, or even a "serf" responsible for farming in the Middle Ages.
【 AI Technology Lecture Series 2-1 】 Yuxiao is invited to reveal the “past life ” of AI
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What impact does generative AI have on mankind? How to make good use of AI? In a wonderful speech at the Political Science University Heqin Lecture Hall on Saturday (16th) afternoon, the keynote speaker, Yu Xiaoxian, revealed the “past lives and present ” of AI and how people can use AI so that they will not be driven by technology in turn.
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This analogy helps frame AI not solely as a threat but also as a tool that can augment human work if managed properly .

A concrete example illustrating concerns about AI-generated misinformation is the emergence of "deepfakes"—manipulated videos or images that falsely represent real individuals.

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 risks did Hinton associate with AI's rapid advancement?

Early, high-profile deepfakes included fabricated footage of political figures like Barack Obama and Donald Trump, which appeared strikingly realistic but were entirely artificial.

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

This technology enables misinformation to spread rapidly, eroding public trust in legitimate media sources and posing risks to democratic institutions.

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

What severe risks did the March 2024 report warn about advanced AI models?

Similarly, AI language models such as ChatGPT have been criticized for generating plausible but factually incorrect statements, known as "hallucinations," complicating efforts to discern accurate information online and fueling fears about AI’s role in misinformation .

What is the AI problem called confabulation, according to Hinton?

It's when AI makes up plausible answers to questions it can't answer.

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

One important development addressing some of these concerns is the move toward independent testing of AI systems prior to their public release.

Title:

Content: Eight threats of artificial intelligence
Roman Romanov
31 May 2023, 18: 52
According to the non-profit organization Center for AI Safety (CAIS), artificial intelligence can lead to the disappearance of humanity.
This is not the first warning of this kind.
In a relatively short time, several reputable scientists and entrepreneurs have claimed the destructive potential of artificial intelligence.
In addition to social significance, the issue of AI risk management also has geopolitical content.
piqsels.com
What to be afraid of?
The American “AI Security Center ” published an official statement.
It details a number of negative effects of the use of AI, which could eventually lead to the disappearance of humanity.
“A more advanced AI could pose catastrophic and existential risks, ” reads the text published on the organization ’ s website.
Eight threats have been identified.
The first is related to the military application of artificial intelligence technologies: “Unlike other types of weapons, AI systems capable of causing harm can be easily distributed digitally. ”
The second is disinformation: “… all this can undermine the collective decision-making system, radicalize individuals … ”.
The third risk is the distortion of the work of recommendation algorithms.
These systems, for example, offer us additional products on online marketplaces.
The fear is that more advanced models will focus on simplifying the process of predicting the desires of the buyer, which can cause people to develop bad habits and so on.
The fourth threat is associated with a sharp increase in the dependence of people on advanced systems, up to the delegation of the most ordinary tasks to them.
The fifth is an even greater concentration of wealth and influence in the hands of a limited number of people who can use it to monopolize power in society.
The sixth threat is the emergence of goals and abilities.
In other words, models can set new goals and develop skills that are not foreseen during their training.
The seventh is related to the deception by AI.
The statement cites an example where Volkswagen programmed engines to show low emissions only during inspections.
In the same way, according to experts, artificial intelligence can do.
The eighth and, perhaps, the biggest threat is the desire for power.
According to CAIS, the risks of artificial intelligence becoming more independent cannot be ruled out: “By inventing more advanced machines, we are playing with fire. ”
CAIS experts conclude: “Reducing the risk of extinction due to AI should be a global priority along with risks such as pandemics and nuclear war. ”
We warned
The company ’ s arguments resonated in many areas.
Signatures under the statement put not only scientists and programmers, but also journalists and businessmen.
The most significant are the autographs of the “godfather ” of AI Jeffrey Hinton and OpenAI ’ s CEO Sam Altman.
Earlier, they had already talked about the dangers of AI.
“I ’ m pretty concerned about the possible existential risks that might arise when these things get smarter than us … I ’ ve come to the conclusion that [artificial] intelligence is different from ours.
It is as if one person learned something, and with him 10 thousand people learned the same thing.
That ’ s how these chatbots know more than anyone. ”
Moderate AI pessimists were also recorded by representatives of BigTech, Elon Musk, as well as Apple co-founder Steve Wozniak.
In their March open letter, they demanded that the development of better language models be suspended.
Should we automate all jobs?
Should we develop non-human brains that could later become smarter … and replace us? ”
According to experts, a pause in the development of AI will provide an opportunity to understand the ethical and social risks that the technology presents.
In turn, this should contribute to the development of safer systems.
However, some companies oppose such steps, as it can harm their immediate interests.
According to Forbes, the majority of surveyed owners are confident in the positive impact of AI on their business.
This applies to improving the quality of service (64%), increasing sales (60%), as well as improving the process of corporate decision-making (44%).
Especially can be outraged by companies that have reached new heights due to the association with AI.
For example, Nvidia broke through the $1 trillion market cap thanks to the AI boom.
The counter-argument of the proponents of a pause in the development of advanced AI is that it will cause only short-term losses.
In their opinion, in the long term, a break and additional research can make the use of technology safer and, thereby, more effectively reduce business costs.
However, these arguments do not convince everyone.
Opponents of the suspension of the development of AI argue that the “bad actors ”, despite all the agreements, will still continue to adapt the technology to their needs.
GeopolIItica
Hence the calls to create a system of its legal regulation of AI.
In the United States, for example, the first rudiments of such legislation appeared under Trump (2020), and in November 2022, the Biden administration published the plan of the Bill of Rights in the field of artificial intelligence.
Even more so, so far these are only sketches that have no force under them.
The situation is quite different in China.
By May 2023
Beijing has already been working on a second set of laws regulating AI.
For 6 years, since 2017, the PRC has been studying the legal aspects of the introduction of technology in most areas of life.
One of the goals of this activity is to increase public confidence in AI.
In addition, the presence of rules, according to Chinese experts, will allow entrepreneurs with greater confidence to use AI solutions in the activities of their companies.
A more global and longer-term goal could be to spread Chinese practices to other countries, giving Beijing an edge in technological competition with the United States.
On this account, there are many different considerations: some researchers are confident in the success of the Celestial Empire, another clarifies that the presence of a set of rules does not cancel the lag of China from the United States in some areas of AI (for example, large language models) - but all this only confirms the formation of artificial intelligence technologies as a subject of geopolitical struggle.
RESULTS
The potential risks of AI have been discussed for a long time.
For many years, they were treated superficially, as the beginning of the introduction of technology in everyday life seemed distant.
Nevertheless, the emergence of large language models, the gradual integration of AI solutions in the field of medicine, finance and even art forced experts to think.
Too fast the introduction of artificial intelligence, in their opinion, minimizes the chances of detecting problems in the work of the same language models.
And it seems that there will be more and more such voices.

This process involves third-party experts, security researchers, and ethical hackers evaluating AI models to identify vulnerabilities, biases, safety risks, and inaccuracies.

For instance, at the DEF CON 31 cybersecurity conference in August 2023, leading AI companies—including OpenAI, Google, Microsoft, and Stability AI—agreed to have their AI models subjected to public and independent scrutiny.

Independent testing improves transparency, exposes potential dangers, and helps companies fix issues to make AI more robust and trustworthy, a critical step as these systems become widely embedded in society .

Beyond following expert debates and technology developments, students and the public can actively engage with the AI dialogue in constructive ways.

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Content: Wednesday, December 13, 2023
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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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Education is a foundational step; increasing AI literacy allows individuals to understand AI’s capabilities and limitations, develop critical thinking skills to assess AI-generated content, and appreciate broader societal impacts.

Additionally, participating in policy advocacy and democratic processes to promote responsible AI governance is vital.

By supporting transparency, fairness, safety standards, and ethical AI regulation, people can influence how AI technologies develop and are integrated, helping to mitigate risks while harnessing benefits.

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

This dual approach—education and active civic engagement—empowers students to contribute meaningfully to shaping AI’s future .

In summary, Geoffrey Hinton’s resignation and public warnings serve as a critical moment in AI’s history, highlighting the urgent challenges posed by rapidly advancing AI technologies.

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?

Poses ethical risks
Becomes uncontrollable

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

His distinguished career and foundational scientific contributions lend credibility to his concerns about AI’s societal impacts, from job displacement and misinformation to potential existential risks.

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Content: The field of generative AI has hardly escaped controversy in recent months. Since the release of ChatGPT, the use of generative AI tools has surged worldwide in recent months, with critics raising concerns about the technology, including possible bias, privacy violations, resulting in increased risk of misinformation or fraud.
At the end of March this year, the non-profit organization Future of Life Research published an open letter in late March, saying that the AI lab was “locked in a runaway development and deployment race ” without adequate security protocols, calling for a six-month moratorium on the development of AI systems that are more powerful than OpenAI ’ s GPT-4 launched earlier that month.
The letter was backed by industry insiders and executives such as Musk and Apple co-founder Wozniak.
Recently, Geoffrey Hinton, known as the “godfather of AI ”, left Google and said he was very upset about the speed and direction of AI expansion.
The Godfather ran behind.
As progress in the field of generative AI accelerates, employees at Google and other tech giants have heated discussions internally and externally about the technology that is reshaping their industry.
Google is particularly under pressure because the popularity of ChatGPT has raised concerns that Google may be losing its edge in AI.
Google has long been a leader in this area.
During a recent earnings call, Google CEO Sundar Pichai said that “our investments and breakthroughs in AI over the past decade have put us in a good position, ” noting the company ’ s progress in developing models and working with developers and other partners.
Hinton joined Google a decade ago to help the company develop its AI technology.
As a cognitive psychologist and computer scientist, his pioneering research in deep learning and neural networks has laid the groundwork for current AI systems such as ChatGPT.
In interviews with The New York Times and CNN, Hinton admitted that he left Google in order to be completely free to speak out about the dangers of artificial intelligence, and even said that he regretted his contributions to the field of artificial intelligence.
Hinton said that artificial intelligence will not only cause a large number of jobs to disappear, but also cause people to have no way to know what is real. On the 2nd, he said on CNN program, if artificial intelligence becomes much smarter than humans, it will manipulate humans; artificial intelligence knows how to program, and will find ways to circumvent human restrictions on its settings.
Apple co-founder Steve Wozniak also appeared on CNN to voice his concerns about artificial intelligence spreading disinformation.
"If someone wants to cheat you, using AI technology, it will be much easier to cheat," Wozniak said. "Maybe some kind of regulation" is needed to regulate AI technology.
Pichai has called for regulation of AI in the past, warning that the technology could be “very harmful ” if not deployed in a deliberate way.
When the Big Game goes on.
Microsoft has launched a new Bing search based on OpenAI ’ s GPT-4, and Google released its Bard chatbot that competes with ChatGPT in March.
Recently, in response to Musk and other thousands of people calling for the suspension of advanced artificial intelligence development, Microsoft Chief Scientific Officer Eric Horvitz (Eric Horvitz) gave the opposite view.
He believes that what AI really needs is an acceleration of input, not a pause.
In an interview, Horwitz said that although he respects the people who signed the open letter and understands that people may have concerns about AI, he believes that “acceleration ” is actually necessary, not a pause.“ I really respect the people who signed the open letter, ” he said, “I think people are reasonable to worry … For me, I would like to see more knowledge, or even accelerate R & D, rather than a six-month pause. ”
I'm not sure the suspension is feasible.
In a way, this is a very vague request. "
He continued: “In a broader sense, a six-month suspension makes little sense.
We really need to invest more in understanding, guiding and even regulating the technology, to get involved, not to pause, "he said.
Previously, OpenAI CEO Sam Altman has responded to a joint open letter signed by Musk and other big players.
At a recent event at MIT, he said, “I very much agree with some of the main points of the letter, but there is a lack of technical detail on where the pause is needed. ”
Altman stressed that OpenAI spent six months researching the security of GPT-4, undergoing external audits and internal security testing before it was made public.
Musk, who took the lead in signing the open letter, secretly made a big model.
According to the Wall Street Journal, Musk has set up an artificial intelligence company called X.AI in Nevada, aiming to compete with Open AI, the development company of the chatbot ChatGPT.
Earlier, Musk also launched an artificial intelligence project inside Twitter, and made a big purchase of 10,000 NVIDIA A100 GPUs for one of Twitter ’ s two data centers.
In addition to the high investment, in order to help the research and development of artificial intelligence projects, Musk has also dug LLM experts from Google's AI department, DeepMind, which has successfully dug up about six.
After the launch of ChatGPT, Google had to turn on defense mode.
As one of the leaders in AI, the company has long argued that transparency in research results will incentivize outside researchers to advance areas related to Google ’ s core products.
But now, competitors are using the research to launch products that pose a threat to Google ’ s core business.
In February, longtime Google AI chief Jeff Dean announced a surprising policy shift to employees: they would delay sharing their research with the outside world.
To accelerate progress in AI, Google has also merged Google Brain and DeepMind, formerly independent AI research labs, into a new division called Google DeepMind.
The new division will be headed not by Dean, but by DeepMind ’ s CEO Demis Hassabis.
The "tug of war" between the government and the giants or officially launched
Since the launch of ChatGPT, the use of generative AI tools has soared, and as a result has come under increasing scrutiny.
Policymakers are pressuring companies to implement protective measures against this emerging technology.
Last week, the G7 Digital and Technology Ministers agreed to adopt “risk-based ” regulation of AI.
EU lawmakers have also reached a preliminary agreement on an artificial intelligence bill.
The UK Competition and Markets Authority (CMA) will also launch a review of the AI market.
On May 4, local time, White House officials said that the U.S. government plans to introduce policies to regulate the way federal agencies purchase and use artificial intelligence systems, and the White House Office of Management and Budget is expected to issue guidance in the coming months.
The move could have a significant impact on the market for AI products and limit the way Americans interact with AI on government websites, security checkpoints and other occasions.
Hours after announcing the move, U.S. Vice President Kamala Harris and other government officials met with the CEOs of Google, Microsoft, OpenAI and startup Anthropic.
Chaired by Harris and other officials, the White House conveyed concerns about the technology to tech executives at the meeting, and discussed with these industry leaders the regulatory issues surrounding AI.
As we all know, Microsoft has invested tens of billions of dollars in OpenAI and has integrated ChatGPT into Bing Search.
For Microsoft, ChatGPT is critical to its ability to challenge the hegemony of Google search and artificial intelligence research.
Microsoft chief economist Michael Schwarz said Wednesday that it would be dangerous for artificial intelligence to fall into the hands of unscrupulous people.
Speaking at a panel of the World Economic Forum in Geneva, Schwartz said: “I believe AI will be used by bad actors and will cause real damage … AI will have a lot of negative effects in terms of spammers and elections, for example. ”
AI “clearly ” needs to be regulated, he said, but lawmakers should be cautious and wait until the technology causes“ real harm ” before taking action.
Schwartz believes that regulation should be consistent with the principle that the benefits of regulation to our society should outweigh the costs.
He warned policymakers should be careful not to directly regulate AI training data.
"It would be quite catastrophic," he said. "If we had to make these decisions about the training set, we would have to wish us luck."

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 risks did Hinton associate with AI's rapid advancement?

The diverse responses from experts reflect a dynamic balancing act between encouraging innovation and imposing necessary safeguards.

Title:

Content: The father of artificial intelligence warns: he will control us and governments to confront him
2023-06-29T07: 41: 01.000000Z
Jeffrey Hinton, described as the “godfather of artificial intelligence, ” on Thursday called on governments to confront the dangers of this type of intelligence and intervene to ensure that machines do not control society.
The warnings come at a time when "artificial intelligence" is rapidly evolving, which has raised concerns about its impact on many human jobs.
Hinton made headlines in May 2023 when he announced his resignation from Google to speak more freely about the dangers of artificial intelligence, shortly after the launch of the chatbot that captivated the world.
The artificial intelligence scientist, who teaches at the University of Toronto, spoke to a crowd at the Collegion Technology Conference in the Canadian city, according to Agence France-Presse.
The conference attracted more than 30,000 startup founders, investors and tech professionals, most of whom were looking to learn how to ride the wave of AI rather than hear lessons about its risks or calls for governments to intervene.
Hinton said that “before AI becomes smarter than us, I think the people who develop it should be encouraged to do a lot of work to understand how it can try to take control of us. ”
“Now there are 99 highly intelligent people trying to make AI better, and one very intelligent person trying to figure out how to stop it from taking control, and maybe you should be more balanced. ”
Hinton warned that the dangers of “artificial intelligence ” must be taken seriously, saying:“ I think it ’ s important for people to realize that this is not science fiction or just fear, ” stressing that “it ’ s a real risk that we have to think about, and we have to figure out how to deal with it beforehand. ”
Hinton also expressed concern that AI would deepen inequality, where the vast gains from its productivity would go to the rich, not the workers, and said that “wealth will not go to the people who work, it will make the rich richer, not the poor, and this is a very bad society. ”
He also pointed to the danger of "fake news" that can be created by robots such as ChatGPT, expressing the hope that content generated by "artificial intelligence" programs will be marked, and that central banks will mark monetary currencies.
Hinton also stressed that “it is very important to try, for example, to identify everything that is fake as fake, I don ’ t know if we can do that technically or not. ”
This comes as big tech companies such as Microsoft, Google and others are racing to make advances in artificial intelligence, which some experts warn could replace some human jobs, while others say AI will help generate other jobs for humans.
UN Secretary-General António Guterres earlier announced his support for the creation of a UN agency specialized in artificial intelligence "inspired by the International Atomic Energy Agency", noting that only member states are the decision-makers.
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Public concerns have spurred governmental reviews and calls for regulation, with commitments to transparency such as independent AI testing underway.

For students and the broader public, understanding these developments and engaging through education and advocacy are key to navigating AI’s complex future responsibly.