Geoffrey Hinton, an AI pioneer, left Google in 2023, warning of AI's potential dangers.

Hinton invented technology at University of Toronto in 2012 that became the foundation for AI systems.

He co-founded DNNresearch, which was acquired by Google for $44 million.

Hinton received the 2018 Turing Award, computing's Nobel Prize equivalent.

Hinton believes AI could soon surpass human intelligence.

He has warned that AI could be taught to pursue harmful sub-goals and be exploited by nefarious actors.

Over 1,000 AI experts, including Elon Musk and Steve Wozniak, called for a six-month moratorium on training AI systems more advanced than GPT-4 due to potential societal risks.

Regulators worldwide are struggling to develop rules to limit AI risks, with the UK planning a global summit to agree on security measures.

Hinton suggested that AI development should not be scaled until it can be controlled.

A new State Department report warns that rapidly evolving artificial intelligence poses "catastrophic" national security risks and an extinction-level threat to humans.

Geoffrey Hinton is warning governments to intervene so machines do not control society.

Hinton resigned from Google to speak freely about AI dangers, prompted by ChatGPT's launch.

Hinton believes developers should focus on how AI may try to control humans before it surpasses us.

Hinton is a cognitive psychologist and computer scientist who pioneered deep learning research with Bengio and LeCun.

He developed generative adversarial networks (GANs) that can generate realistic images and videos, including 'deepfakes'.

Hinton warns of deepfake risks and the need for critical thinking.

Artificial intelligence could lead to autonomous weapons that kill on an industrial scale.

AI-powered surveillance systems can be used to oppress people and spread misinformation.

Geoffrey Hinton, an AI pioneer, left Google in 2023, warning of AI's potential dangers.

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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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Content: Geoffrey Hinton: GPT-4 is 100 times more knowledgeable than any human
Author: MIAO Yongqi
Published: Updated:
Computer scientist Geoffrey Hinton, known as the "godfather of artificial intelligence", announced Monday that he has resigned from Google. He has devoted his life to developing artificial intelligence systems, saying he "regrets his life's work" and is wary of the potential dangers of AI development.
In another recent interview, Hinton further talked about why he is afraid of AI development.
Hinton, 75, left Google a few days after the news broke in an interview with MIT Technology Review senior editor Will Douglas Heaven.
Hinton points out that the new generation of AI language models, especially the GPT-4, which came out in March, made him realize that these machines were moving in a direction that was much smarter than he thought, and he was afraid of these developments.
He is best known for a technique he proposed in the 1980s (with two colleagues) called backpropagation.
In short, the algorithms that allow machines to learn support almost all of today ’ s artificial neural networks, from computer vision systems to large language models.
It wasn ’ t until the 2010s that Hinton and his two recent graduates developed a “neural network ” that demonstrated its power, stronger than any computer ’ s ability to identify objects in images, and trained it to predict the next letter of a sentence, a precursor to today ’ s large-scale language patterns.
One of the students was Ilya Sutskever, the founder of OpenAI, who led the development of ChatGPT.
“We first thought it might be great. ”“ But it ’ s going to take a long time to realize that it needs to be done on a large scale to get good results. ”
In the 1980s, the discussion of “neural networks ” was considered a joke.
But Hinton doesn ’ t think so, and is working on this, software that mimics the abstract human brain and uses code as a connection between neurons. For 40 years, Hinton has viewed artificial neural networks as a clumsy attempt to mimic biological neural networks.
Now he thinks things have changed: he thinks there are better results when trying to mimic the behavior of the biological brain.
“It ’ s scary when you see it with your own eyes, ” he said.“ It ’ s a sudden change. ”
So why did ChatGPT surprise Hinton, too? He explained that the human brain has about 100 trillion connections, and “large language models have up to 500 billion, up to a trillion. ”
However, the knowledge of GPT-4 is a hundred times greater than that of any human.
So maybe it actually has a better learning algorithm than we do. "
He also pointed out that apart from the ability to learn, the ability to communicate is another kind of point.
“If you or I learn a new thing and want to teach it to another person, we can ’ t just send them a copy. ”
But artificial neural networks can do it.
It ’ s like there are 10,000 people here, and when one person learns a new thing, the other 9,999 people all learn it at the same time.
Hinton now believes that there are two types of intelligence: animal brains and artificial neural networks.
“It ’ s a completely different kind of intelligence.
“A new, better intelligence. ” Hinton believes that whether superintelligence is good or bad depends largely on whether you ’ re an optimist or a pessimist, and he says,“ mildly depressed, ” “that ’ s why I ’ m afraid. ”
“Whether these things are going to be smarter than us, I suddenly changed my mind. ”
I think they are very close to us now and they will be much smarter than us in the future, ” he said.
“How do we survive? ” he is particularly worried that people will use the tools he has developed to change the trajectory of human life, including elections and wars.
He said that he hopes to continue talking about AI security after leaving office and spend more time on “more philosophical work ”.“ As long as I ’ m still employed at Google, I can ’ t say what I want to say, ” he said. “I have a lot of good things to say about Google, and it would be more convincing if I wasn ’ t at Google. ”
Who is the godfather of AI computer scientist Geoffrey Hinton?
Hinton pioneered the basic technology of AI systems and became interested in artificial neural networks when he was a graduate student at the University of Edinburgh in 1972. In 2018, he and two experts in the field of deep learning were awarded the Turing Award, known as the “Nobel Prize in Computing ”.
What are the main concerns of “AI Godfather ” Geoffrey Hinton about the development of artificial intelligence?
He believes that the most direct impact is to promote the dissemination of false information and the loss of employment opportunities, and also worries about the use of this tool for evil, such as influencing elections and using it in war.

Title:

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

Title:

Content: Expert: AI poses serious risk to global health and security China ’ s credit monitoring system oppresses people
A group of doctors and medical experts have urged the urgent need for an international treaty on AI regulation.
A group of doctors and public health experts have joined calls to suspend development of artificial intelligence until sufficient regulations are in place.
Source: SBS
Key points:
• A new study says the development of artificial intelligence could lead to the emergence of autonomous weapons capable of killing people “on an industrial scale. ”
The study ’ s authors also warn that the loss of jobs could have an impact on human health as more types of work are automated.
• The authors also warn that powerful AI-powered surveillance systems could be used to oppress people.
A group of doctors and public health experts say the development of artificial intelligence (AI) needs to be put on hold because it poses a risk to public health and safety.
According to a study published in the open journal BMJ Global Health, AI could facilitate the development of autonomous weapons capable of killing people “on an industrial scale ” without human supervision.
The study ’ s authors, David McCoy and Frederik Federspiel, say governments can also use AI to create powerful surveillance systems that can spread misinformation and social divisions, manipulate consumer choices, and even fuel government oppression.
"We do need an international treaty and a global regulatory approach," McCoy, a professor at the United Nations University in Malaysia, a United Nations General Assembly affiliated research institute and author of the study, told SBS News.
"The UN and governments are really critical to any form of effective regulation to prevent the misuse of AI," he said.
More than 75 countries or regions are currently using AI for surveillance.
Given the link between unemployment and “adverse health outcomes and behaviors, ” the study ’ s authors also warn of the health implications of unemployment as AI facilitates the automation of more types of work.
The creators of AI boast about its transformative potential, including in medicine and public health, but doctors are joining calls to stop developing AI until regulation can keep up with its progress.
How does artificial intelligence enable weapons development?
The authors of the study warn that artificial intelligence has enabled the development of lethal autonomous weapons systems (LAWS) to locate, select and attack human targets, all without human oversight.
"In theory, you could produce a van with hundreds of thousands of small autonomous weapons that could be targeted in a more discriminating way," Professor McCoy said.
The technology for this highly lethal weapon is relatively cheap, he added.
“We don ’ t know exactly who owns this technology or who is developing it.
“But I think it ’ s fair to say that there are governments around the world developing this technology, ” he said.
In 2021, the United Nations held talks on autonomous weapons, which did not start negotiations on an international treaty governing their use, but only agreed to continue discussions.
How does artificial intelligence contribute to the misuse of personal data?
The authors of the study say artificial intelligence has the ability to quickly clean up, organize and analyze massive data sets made up of personal data, including images.
They pointed to the role of AI in subverting democracy in the 2013 and 2017 Kenyan elections, the 2016 US presidential election, and the 2017 French presidential election.
“When combined with a rapidly improving ability to distort or distort reality, AI-powered information systems could further undermine democracy, cause a general breakdown of trust, or drive social divisions and conflict, with consequent public health implications, ” the authors said.
They argue that AI-driven surveillance could also be used by governments to oppress people more directly, such as China ’ s social credit system.
China ’ s social credit system, which combines facial recognition software with analysis of people ’ s financial transactions, activities, police records and social relationships, essentially allows the Chinese government to use a set of incentives and penalties to shape the behavior of its people.
Last week, Geoffrey Hinton, a pioneering computer scientist hailed as the “godfather of artificial intelligence, ” said he had left Google to talk freely about the dangers of the technology after realising that computers could become smarter than people faster than he and other experts expected.
In an interview with The New York Times, Hinton said he was concerned about the ability of AI to create convincing false images and texts, thereby creating a world where people "can no longer know what is real."
"It's hard to see how to prevent bad people from using it to do bad things," he said.
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Published 10 May 2023 6: 18pm
By Madeleine Wedesweiler
Source: SBS
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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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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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Cyber Society: Meet the NFT duo dominating the metaverse

Old Etonian digital artists Dominic Smith and Joe Carnell have caught the attention of Brooklyn Beckham, Steve Aoki and Jaden Smith

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.’

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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.
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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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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.

Title:

Content: Report highlights the seriousness of artificial intelligence and warns of the threat of human extinction with a call for America to intervene
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(CNN) -- A new report commissioned by the State Department paints a worrying picture of the "catastrophic" national security risks posed by rapidly evolving artificial intelligence and warns the federal government is running out of time to avert disaster.
The findings were based on interviews with more than 200 people over more than a year, including senior executives from leading AI companies, cybersecurity researchers, weapons of mass destruction experts, and national security officials within the government.
The report, released this week by AI Gladstone, categorically suggests that more advanced AI systems could, in the worst case scenario, “pose an extinction-level threat to the human race. ”
The US State Department did not respond to a request for comment.
The warning in the report is another reminder that while the potential of AI continues to captivate investors and the public, there are real risks as well.
Jeremy Harris, CEO and co-founder of Gladstone AI, told CNN on Tuesday: “Artificial intelligence is already an economically transformative technology.
It can allow us to cure diseases, make scientific discoveries, and overcome challenges we once thought insurmountable. ”
"But it could also bring serious risks, including catastrophic risks, that we should be aware of."
“A growing body of evidence – including empirical research and analysis published at the world ’ s most important AI conferences – suggests that above a certain threshold of capability, AI systems are likely to become out of control. ”
White House spokeswoman Robin Patterson said President Joe Biden ’ s executive order on AI was “the most significant action any government in the world has taken to deliver on the promise and manage AI risk. ”
“The President and Vice President will continue to work with our international partners and urge Congress to pass bipartisan legislation to manage the risks associated with these emerging technologies, ” Paterson said.
A clear and urgent need to intervene
Researchers warn of two major dangers posed by large-scale artificial intelligence.
First, Gladstone AI said the most advanced AI systems could be armed to cause irreparable damage.
Second, there are particular concerns within AI labs that they may at some point “lose control ” over the very systems they are developing, with“ potentially devastating consequences for global security. ”
"The rise of artificial intelligence and artificial general intelligence has the potential to destabilize global security in ways reminiscent of the introduction of nuclear weapons," the report said, adding that there is a risk of an AI "arms race", conflict and "deadly accidents the size of weapons of mass destruction."
The Gladstone AI report calls for radical new steps aimed at countering this threat, including the launch of a new AI agency, the imposition of “emergency ” regulatory safeguards and restrictions on how much computer power can be used to train AI models.
The authors wrote in the report: "There is a clear and urgent need for the intervention of the United States government."
The report notes that although the work was produced for the State Department, its views “do not reflect the views ” of the agency or the U.S. government in general.
A government notice issued in 2022 by the State Department ’ s Nonproliferation and Disarmament Fund Office shows that the government is offering to pay up to $250,000 for an assessment of “proliferation and security risks ” associated with advanced AI.
Safety Concerns
Harris, Gladstone ’ s executive director of artificial intelligence, said his team ’ s “unprecedented level of access ” to public and private officials had led to startling conclusions.
Gladstone AI said it spoke to technical and leadership teams from chat owner OpenAI, Google DeepMind, Facebook parent company Meta and Anthropic.
In a video posted on Gladstone AI ’ s website announcing the report, Harris said: “Along the way, we ’ ve learned some disturbing things.
Behind the scenes, the safety and security situation in advanced AI seems largely inadequate compared to the national security risks that AI may soon pose somewhat. ”
The Gladstone AI report said competitive pressures were driving companies to accelerate AI development “at the expense of safety and security, ” increasing the likelihood that more advanced AI systems would be“ stolen ” and “weaponized ” against the United States.
The findings add to a growing list of warnings about the existential risks posed by AI — including from even some of the industry ’ s most powerful figures.
Nearly a year ago, Jeffrey Hinton, known as the “godfather of artificial intelligence, ” quit his job at Google and sounded the alarm about the technology he helped develop.
Hinton said there is a 10% chance that artificial intelligence will lead to human extinction within the next three decades.
Hinton and dozens of AI industry leaders, academics and others signed a statement in June saying that “mitigating the extinction risk of AI must be a global priority. ”
Business leaders are increasingly concerned about these risks – even as they invest billions of dollars in AI.
Last year, 42% of CEOs surveyed at last year ’ s Yale CEO Summit said AI has the potential to destroy humanity five to ten years from now.
abilities similar to human abilities to learn.
Gladstone AI in its report pointed to some prominent individuals who have warned about the existential risks posed by artificial intelligence, including Elon Musk, Federal Trade Commission Chairman Lena Khan, and a former senior executive at OpenAI.
Some employees at AI companies share similar concerns privately, according to Gladstone AI.
“An individual at one of the well-known AI labs expressed the view that if a specific next-generation model of AI were launched without access restrictions, it would be ‘ very bad ’, because the model ’ s potentially convincing ability could ‘ break democracy ’ if leveraged in areas such as election interference or voter manipulation, ” the report said.
Gladstone said she had asked AI experts in some labs to share their personal estimates privately about the likelihood that an AI incident could lead to “irreversible global effects ” in 2024.
Estimates ranged from 4 percent to as much as 20 percent, according to the report, which notes that the estimates were informal and likely to be heavily biased.
One of the biggest surprises is how quickly artificial intelligence is evolving — specifically artificial general intelligence (AGI), a hypothetical form of artificial intelligence that has a human-like or even superhuman learning ability.
The report says AI is seen as “the main driver of catastrophic risks caused by loss of control, ” and notes that OpenAI, Google DeepMind, Anthropic, and Nvidia have all publicly stated access to AI by 2028 — though others believe it ’ s far beyond.
Gladstone AI points out that disagreements over AI timelines make it difficult to develop policies and safeguards, and there is a risk of a slowdown in regulation as technology evolves.

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

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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?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hinton invented technology at University of Toronto in 2012 that became the foundation for AI systems.

He co-founded DNNresearch, which was acquired by Google for $44 million.

Hinton received the 2018 Turing Award, computing's Nobel Prize equivalent.

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

Hinton believes AI could soon surpass human intelligence.

What future risk did Hinton warn about AI?

He has warned that AI could be taught to pursue harmful sub-goals and be exploited by nefarious actors.

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

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

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

Advanced AI could pose an existential risk to humanity.

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

What risks did the global summit report highlight about AI?

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

Over 1,000 AI experts, including Elon Musk and Steve Wozniak, called for a six-month moratorium on training AI systems more advanced than GPT-4 due to potential societal risks.

Title:

Content: Today 10 June 2023
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MWC 2018 2018 Computex IFA 2018
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“If we slow down, the AI race will not stop ” – not all AI developers are ready to suspend development
Alex Carp, head of software company Palantir, says that only those who “don ’ t have AI products want to pause. ”
His company announced additional investments and rejected calls to suspend AI development.
“The race has started – the only question is, will we stay ahead or lose the lead? ” – asks the question with an edge Alex.
He is confident that the West currently has key commercial and military advantages in the field of AI and should not give them up.
Image source: Pixabay
“If we slow down, the AI race will not stop.
“No country in the world, especially our adversaries, can allow us to have this advantage, ” he said.
Karp ’ s comments have a very different tone compared to the recent glut of dire warnings about the potentially existential threat AI poses to humanity, and accompanying calls for slowing or even stopping its development.
In March, Elon Musk, Steve Wozniak, and more than 1,000 other AI experts and industry representatives called for a six-month moratorium on training AI systems that are more productive than OpenAI ’ s recently unveiled GPT-4.
In an open letter, they warned of potential risks to society.
In May, AI industry leaders, including executives from OpenAI and Google Deepmind, warned that artificial intelligence could lead to the extinction of humanity.
As one of the threats, they pointed out the involvement of AI in the development of a new generation of chemical weapons.
Two of the three so-called godfathers of AI — Geoffrey Hinton and Professor Yoshua Bengio — were among those who warned that the technology they helped create had enormous potential for harm.
Regulators in many countries are struggling to develop new rules to limit the risk of using AI.
This fall, the UK is planning a global summit on AI, and Prime Minister Rishi Sunak wants the UK to make efforts to ensure that the benefits of AI are “harnessed for the benefit of humanity. ”
The composition of the summit is not yet known, but the UK government said it would “bring together key countries, leading technology companies and researchers to agree on security measures to assess and monitor the most significant risks associated with AI. ”
Sunak argues that the UK is a “natural place ” to talk about AI, mentioning recent meetings with executives from leading AI firms.
According to him, this sector of the economy, which employs 50,000 people, brought the UK £3.7 billion.
Sunak ’ s desire to lead the process is understandable, but many question Britain ’ s leadership in this area.
Analysts believe that the UK may be too ambitious, and there are sharp differences in approaches to governance and regulation between the EU and the US, which the UK will be difficult to influence.
In addition, a number of global initiatives already exist, including the UN Global Digital Compact, which has a stronger fundamental foundation.
It should be noted that none of the most innovative firms in the field of artificial intelligence is based in the UK.
“Instead of trying to play this role, the UK may need to focus on encouraging responsible behavior in the research, development and deployment of these technologies, ” said Yasmin Afina, a research fellow at the Chatham House Digital Society Initiative.
The European Union is developing a law on artificial intelligence, but admits that even in the best case, it will take two and a half years to enter into force.
EU Competition Commissioner Margrethe Vestager said it would be “too late ”.
She reported on work on a voluntary code that could be drafted in a matter of weeks.
China is also actively developing rules for the use of AI, including a requirement to notify users whenever an AI algorithm is used.
Contradictions between AI developers and regulators will only multiply.
In the future, we can expect mass protests against the use of AI, because of which thousands of people are already losing their jobs, and in the future their number may be measured in millions.
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Creating malicious software for cyberattacks, potentially posing an existential threat if humans lose control.

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Geoffrey Hinton is warning governments to intervene so machines do not control society.

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Content: Alert
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Copyright © 2019 Nantou County Government. All Rights Reserved.
From generative AI to responsible AI, we talk about AI ’ s self-discipline and other laws from a legal perspective.
【 Text / Photo courtesy of Feng Zhenyu / Tachih Images / Gettyimages 】
As the ChatGPT craze swept the world with a thunder, it also created a serious issue.
That is, who should be responsible and how should be regulated for all kinds of illegal, infringing, or improper behavior that accompany the use of AI.
One of the key questions is whether it is still handled by the operators through the self-regulatory approach of Responsible AI (RAI), or whether it should be handled by the legal aspects of other laws, which is an important issue to be solved under this wave of AI.
Since the birth of the concept of AI, people have been full of illusions about AI and worried about the possible threat of AI development.
Generative AI advances beyond the past, led by ChatGPT, and even with the help of a new generation of large language models such as GPT-4 and Google PaLM 2, it is moving toward the goal of General Artificial Intelligence (AGI).
As the technology of generative AI advances, people from the initial worry about ChatGPT (used to write reports or papers) gradually become concerned about whether these emerging AI tools will mislead people, spread false information, violate privacy or intellectual property rights, replace some human work, and even be used to influence election results. This has raised the responsibility of responsible AI, which originally existed only at the level of the enterprise industry and is a self-regulatory function, to the level of the national and even the international level, and has transformed into the responsibility of the AI required by law.
Self-discipline for responsible AI
The so-called responsible AI, is a deep thinking on machine learning services, believes that various organizations in the development of machine learning services, should pay attention to the individuality and particularity of the service object.
According to Microsoft, responsible AI is a way to develop, evaluate, and deploy AI systems in a safe, reliable, and ethical manner, respecting enduring values such as fairness, reliability, and transparency.
Although Google did not initially use the term, its Recommended best practices for AI believe that software development best practices should be followed when designing AI systems, and a “human-centric ” approach to machine learning, taking into account basic principles such as fairness, interpretability, privacy, and security. And...
After Google launched this AI principle in 2018, teams such as TensorFlow have developed products according to this principle, and have also launched tools and techniques for responsible AI, which has become an important driver of responsible AI.
However, this principle of responsible AI self-discipline at the enterprise level, under the impetus of generative AI, has been unable to cope with the various problems caused by the development of AI, resulting in the continuous expansion of the voice of supervision of AI from all walks of life, and countries have gradually begun to intervene in a legal manner, which also makes the principle of responsible AI self-discipline face a major challenge.
The sound of slowing the development of AI is emerging
First, in March 2023, the Center for Artificial Intelligence and Digital Policy (CAIDP), through an open letter and a complaint to the U.S. Federal Trade Commission (FTC), called on the FTC to adopt measures to suspend advanced AI experimentation and use.
More eye-catching is the open letter on the suspension of AI development proposed by the Future Life Research Institute (FLI).
The letter, citing the potential risks AI poses to society and humanity, calls for a six-month moratorium on the development of AI technologies more advanced than GPT-4 until independent experts develop common safety guidelines and implement them.
This open letter attracted thousands of signatures from Tesla founder Musk and Apple co-founder Steve Wozniak, and more and more people have signed the open letter. As of May 18, 2023, more than 27,500 people have signed the open letter.
Even academics and experts who develop AI are concerned about the development of unregulated AI.
Artificial intelligence expert Geoffrey Hinton, known as the “godfather of AI, ” believes that generative AI is more likely to be difficult to control in advance.
Enterprises in order to achieve a leading position in technology, I am afraid that the corresponding regulations and restrictions will be relaxed. If government agencies, management units and technology companies themselves are not ready to provide corresponding regulations and effective control measures, I am afraid that it will make AI more uncontrollable, and even affect ethics.
Unexpectedly, even OpenAI CEO Altman, who developed ChatGPT and set off this wave of AI craze, said in testimony to the U.S. Senate in mid-May, “With the advancement of AI technology, we understand that the world is anxious about how AI will change the way we live. ”
We feel the same way, ” he added. “If something goes wrong with this technology, it could be very bad. ”
To that end, he suggested creating a U.S. or global regulatory body to issue licenses for powerful AI systems to stop AI models from “hubris of self-replication and self-infiltration ” and have the power to“ revoke licenses and ensure compliance with safety standards. ”
However, just as all parties expressed concern about AI, Microsoft threw a shock bomb.
According to a report in the New York Times on May 17, the Microsoft AI research team demonstrated in a 155-page paper, "Spark of Artificial General Intelligence", that GPT-4 demonstrated the ability to understand human concepts and skills, which is an important step towards general artificial intelligence (AGI).
This shows that despite all the calls, there is still no obstacle to the rapid development of AI technology.
Why is the voice of AI monitoring increasing?
Despite the international call, there are still limited countries to regulate AI, and many people believe that AI has not reached AGI (or strong AI), and does not have the ability to perceive and act, so there is no need to regulate the developing AI technology.
However, this does not mean that AI will not pose a threat to human society and civilization. The main reason is that the rapid development of generative AI has self-learning and self-correction capabilities, which even exceed the expectations of AI system developers.
In addition, the new AI has been able to control the language, and through continuous dialogue and interaction with humans, so that humans have a relationship of trust in AI, which affects human opinions and ideas.
Because language is the most important communication and creative tool for human beings, through the mastery of language, AI is equivalent to obtaining a key to open the human spiritual world. Through the use of language and gain human trust, it may have an impact on human economy, society, culture, technology, religion, and even politics, and its influence will even surpass the existing social media platforms.
Another reason why AI needs to be properly regulated is the difference between AI and traditional media or communication tools.
Traditional media or tools can only transmit and distribute information or creations created by humans, and cannot create new information to spread, but AI has the ability to create its own creation, and even has the possibility of creating a new culture.
Since AI has such a powerful influence and function, it can continuously introduce new products and even go public on its own without being audited and regulated by any government agency, which also highlights the problems that have arisen in the regulation of AI in various countries.
The emergence of these problems, so that the principle of responsible AI, which originally existed only at the level of corporate self-regulation, has begun to be concerned by various countries, and even some countries have tried to elevate this principle to other legal aspects of the law, the most active of which is the European Union, which has specially planned a complete regulatory framework for AI, and also gave responsible AI a new meaning.
From self-discipline to AI regulation
As the competition in the AI industry continues to expand, in addition to the rapid development of AI technology, and even the red line of general AI, it also highlights the shortcomings of self-discipline and responsible AI, which have led to calls from all walks of life to freeze the development of stronger AI and strengthen supervision.
According to an AI Index survey released by Stanford University in 2023, 37 AI-related laws have been passed into law worldwide in 2022.
The federal government did not act aggressively, but the states took the lead, passing nine laws, followed by five in Spain and four in the Philippines.
International efforts to regulate AI seem to be picking up steam after the potential problems with AI have been revealed.
Looking at the world, the most complete and active plan for the AI regulatory framework is the European Union.
After the breakthrough of AI machine learning and deep learning technology, the European Union began to conduct research on the regulation of AI. In addition to the publication of the AI white paper, the most important thing is to promote the overall legislative framework.
The European Commission first proposed the AI Act (AIA) in 2021, which classifies AI tools according to the level of risk into four categories: Minimal, Limited, High, and Unacceptable.
Two supporting bills were then introduced in September 2022.
The first is to amend the Revised Product Liability Directive (PLD) to allow compensation for damage caused by software updates, AI or digital services, and network security vulnerabilities in robots, drones or smart home system products; and the second is to establish the AI Liability Directive (ALD), which aims to establish uniform rules for information acquisition and mitigation of damage caused by AI systems. The burden of proof is regulated.
On May 11, 2023, AIA, the most critical AI regulation, was approved by the Internal Market and Equity Committee of the European Parliament, which is also an important step towards the birth of the first AI regulation bill.
The newly revised draft expands the scope of high risk to include, in addition to health, safety, fundamental rights or environmental hazards to people, voters and social media platforms that will affect political campaigns (more than 45 million users), and requires companies that provide large-scale AI-based models to establish risk assessment processes, describe copyrighted content used to train AI, ensure that users understand whether they are interacting with AI, and prohibit the public from using AI. Face recognition in real time.
The European Parliament will hold a final vote on the law in June.
In addition to the above-mentioned bills, the European Commission also proposed three European regulatory drafts at the end of 2020, including the Digital Governance Act (DGA), the Digital Market Act (DMA), and the Digital Services Act (DSA). A leader in technology.
In addition, in April 2023, the European privacy regulator, the European Data Protection Board (EDPB), announced the formation of a working group on ChatGPT, a significant step towards developing a common policy for AI privacy rules.
Reflections on regulation
Principles and Guidelines Not of a Legal Nature
In contrast, the United States, because of the leading position in the development of AI technology, so far, the United States has not considered the development of federal regulations similar to the European Union to regulate AI, only California, Colorado, Connecticut, Virginia and New York City, unless the user consent to prohibit AI "personal data analysis"; in addition, California and six other states are legislating to prohibit companies from using AI to discriminate or deceive. Consumers and job seekers.
On the federal side, although some policy documents are issued by various ministries, the more specific action so far is the "AI Bill of Rights Blueprint" issued by the White House Office of Science and Technology Policy in October 2022, which lists five principles aimed at minimizing the potential harm of AI systems, but unlike the EU's AI bill, the Blueprint is not binding; and the Federal Trade Commission issued in May 2023. A guide on how to build AI and machine learning systems responsibly, which identifies biases and discriminatory outcomes through lifecycle monitoring, is also non-legal.
In 2023, after calls from all walks of life, the White House finally convened a meeting of the CEOs of AI companies such as Google, Microsoft, and OpenAI in early May to discuss the prospects and risks of AI.
While the White House said the meeting was a “frank and constructive discussion ” on how to make AI systems more transparent to policymakers, how to assess the safety of such products, and protect AI systems from malicious attacks, it did not address the goal of legislative regulation, and the White House announced only that it would allocate $140 million to expand AI research and work with the tech community to build an assessment system to“ solve the problem. ”
His laws and regulations are a long way off.
As countries are at different stages of the development of AI regulation and have different views on how to achieve it, it seems unlikely that at the international level there will be a consensus on any measures to regulate AI and limit the potential illegal use of AI in the near future.
However, with the EU ’ s legislative progress, if passed by the European Parliament in June, responsible AI at the level of self-regulation in the past may be transformed into a mandatory regulation of a legal nature, which will lead the world to a new stage of AI regulation.
Looking back at Taiwan, the government currently has no concrete measures on whether or not to regulate AI and how to regulate it.
However, as the EU leads countries to strengthen the regulation of AI, and faces the negative impact of AI, Taiwan also needs to make decisions about the risks that AI may bring and how to hold AI accountable, and the EU ’ s centralized regulatory framework will be a major reference.
(The author is a co-professor at the School of Law and Business, National Chengchi University)
With the development of AI technology, from a legal point of view, whether it is still handled by the operator through the self-discipline of responsible AI, or should it be handled by other methods, is an important issue under this wave of AI fever.
2.
Generative AI already has the ability to self-learn and self-modify. Mastering language is equivalent to acquiring a key to opening up the human spiritual world, and gaining human trust through the use of language, which may have an impact on human economic, social, cultural, and political aspects.
3.
After the powerful influence and possible problems of AI were revealed, it highlighted the shortcomings of self-disciplined and responsible AI, and triggered calls for a freeze on research and development and strengthened international supervision.
4.
At present, the most complete and active plan for the AI regulatory framework in the world belongs to the European Union. In addition to publishing the AI White Paper, it also promotes the overall legislative framework to try to give birth to the first AI regulatory bill.
[This article is from the June 2023 issue of Competence Magazine; subscribed to Competence Electronic Magazine; cannot be reproduced or published without consent]
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What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

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

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

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

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

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

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

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

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

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

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

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

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

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

Hinton resigned from Google to speak freely about AI dangers, prompted by ChatGPT's launch.

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

Hinton believes developers should focus on how AI may try to control humans before it surpasses us.

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

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

Hinton is a cognitive psychologist and computer scientist who pioneered deep learning research with Bengio and LeCun.

Title:

Content: Yoshua Bengio

1 minute read
By Geoffrey Hinton

Yoshua Bengio is a world leader in AI. Throughout his career, Yoshua’s research has been instrumental in shaping the world’s understanding of AI’s potential—and that same expertise has made his perspective more essential than ever. His pioneering research on deep learning laid the foundations for the current revolution in AI and earned him the 2018 Turing Award—“the Nobel Prize of Computing”—alongside myself and Yann LeCun. Last year, Yoshua received Canada’s highest award for research, the Gerhard Herzberg Canada Gold Medal. He is the computer scientist with the greatest number of citations and is ranked third among all disciplines for scientific impact.

Yoshua has been concerned for many years with the social impact of artificial intelligence, contributing to the Montreal Declaration for the Responsible Development of AI. Over the past year, worried by the potential for catastrophic outcomes from future AI, he was vocal in global conversations on AI safety. He advised the U.N. Secretary-General and the U.K. AI Safety Institute, and took part in policy discussions with governments in North America, Asia, and Europe.

Hinton is a cognitive psychologist and computer scientist

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Contact us at letters@time.com

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

Breakthroughs that mimic biological brains

He developed generative adversarial networks (GANs) that can generate realistic images and videos, including 'deepfakes'.

Title:

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

Hinton warns of deepfake risks and the need for critical thinking.

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

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

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

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

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

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

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

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

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

Artificial intelligence could lead to autonomous weapons that kill on an industrial scale.

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

Advanced AI could pose an existential risk to humanity.

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

What dual impact did Hinton note AI could have in his 2021 speech?

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

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

Development of uncontrollable human-targeting weapons

AI-powered surveillance systems can be used to oppress people and spread misinformation.

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

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

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

Advanced AI could pose an existential risk to humanity.

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

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