Geoffrey Hinton is a computer scientist known as the "godfather of AI" due to his significant contributions to the field of artificial intelligence.

He is a leading figure in neural networks inspired by the human brain, and his work has been widely recognized and cited.

Hinton is the second most cited researcher among psychologists and the most cited among computer scientists, demonstrating the impact of his research.

One of his most notable contributions is the development of the backpropagation technique in the 1980s, which is a fundamental concept in deep learning.

He also pioneered artificial neural networks at the University of Edinburgh in 1972, laying the foundation for future advancements in AI.

Hinton's work has been recognized with numerous awards, including the Turing Award in 2018 for his contributions to deep learning.

In addition to his technical contributions, Hinton has also been a vocal advocate for responsible AI development, warning about the potential dangers of unmanaged AI.

He has expressed concerns that AI could become more intelligent than humans, posing a significant threat to society and humanity.

Hinton's warnings about AI have been echoed by other experts, including Elon Musk, who has also called for a moratorium on AI development.

In 2023, Hinton left Google, where he had been working, to speak freely about the dangers of AI and to warn about the potential risks of unmanaged AI development.

His resignation from Google was a significant event, as it highlighted the concerns of one of the leading experts in the field about the potential dangers of AI.

Hinton's warnings have been widely reported, and his concerns have sparked a debate about the need for responsible AI development and regulation.

According to Hinton, AI has the potential to contribute to many fields, but it also poses significant risks, including the potential for autonomous systems to wreak havoc.

He has also warned about the potential for AI to spread misinformation and to influence elections and wars.

Hinton's concerns about AI are not limited to its potential impact on society, but also extend to its potential impact on jobs and employment.

He has warned that AI could lead to significant job losses, particularly in industries where tasks are repetitive or can be easily automated.

This concern is shared by other experts, who have estimated that up to 40% of global employment is exposed to AI disruption or loss.

In addition to the potential impact on jobs, Hinton has also warned about the potential risks of AI to global health and security.

He has noted that AI could facilitate the development of autonomous weapons, and that AI-powered surveillance systems could be used to oppress people.

Hinton's concerns about AI have been echoed by other experts, including Denis Hassabis, the CEO of DeepMind, who has warned about the potential risks of AI.

Despite the concerns about AI, many experts believe that it has the potential to bring significant benefits, including improved efficiency and productivity.

However, Hinton's warnings highlight the need for responsible AI development and regulation, to ensure that the benefits of AI are realized while minimizing its risks.

In response to Hinton's concerns, Google has committed to a responsible approach to AI development, and has announced measures to address the risks associated with AI.

The UK Competition and Markets Authority has also launched a review of the AI sector, and the US government has announced measures to address the risks associated with AI development.

The White House has invested $140m in AI research institutes, with a focus on ethical development, and leading AI developers have agreed to public evaluation of their systems.

Overall, Hinton's warnings about AI highlight the need for responsible development and regulation, to ensure that the benefits of AI are realized while minimizing its risks.

His concerns have sparked a debate about the need for responsible AI development, and have highlighted the potential risks and benefits of AI.

As the field of AI continues to evolve, it is likely that Hinton's warnings will remain relevant, and that his concerns will continue to be debated by experts and policymakers.

In conclusion, Geoffrey Hinton's warnings about AI are a significant concern, and highlight the need for responsible development and regulation.

His contributions to the field of AI have been significant, and his warnings about the potential dangers of unmanaged AI are a call to action for experts and policymakers.

As the world continues to grapple with the potential risks and benefits of AI, Hinton's warnings will remain an important consideration, and his concerns will continue to be debated and discussed.

Geoffrey Hinton is a computer scientist known as the "godfather of AI" due to his significant contributions to the field of artificial intelligence.

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A.I. doesn’t bleed

by John Clinton, Ramsay

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

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

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

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

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

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

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

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

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

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

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

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

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

“So what should we do?”

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

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

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

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He is a leading figure in neural networks inspired by the human brain, and his work has been widely recognized and cited.

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

Breakthroughs that mimic biological brains

Hinton is the second most cited researcher among psychologists and the most cited among computer scientists, demonstrating the impact of his research.

One of his most notable contributions is the development of the backpropagation technique in the 1980s, which is a fundamental concept in deep learning.

Title:

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

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

He also pioneered artificial neural networks at the University of Edinburgh in 1972, laying the foundation for future advancements in AI.

Hinton's work has been recognized with numerous awards, including the Turing Award in 2018 for his contributions to deep learning.

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

In addition to his technical contributions, Hinton has also been a vocal advocate for responsible AI development, warning about the potential dangers of unmanaged AI.

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

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

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

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

Poses ethical risks
Becomes uncontrollable

He has expressed concerns that AI could become more intelligent than humans, posing a significant threat to society and humanity.

Title:

Content: AI Godfather: Regret the development of AI caused the spread of false information
International 2023 / 05 / 03
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AI expert Geoffrey Hinton, known as the "godfather of artificial intelligence (AI)", confirmed that he left Google last week, and confessed to regret the work of developing AI, worried that AI will cause a flood of false information, warning that AI may become smarter than humans.
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What did Hinton, the renowned British-Canadian expert reveal about AI that caused widespread concern?

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

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

Advanced AI could pose an existential risk to humanity.

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

Poses ethical risks
Becomes uncontrollable

What future risk did Hinton warn about AI?

What risks did the global summit report highlight about AI?

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

Hinton's warnings about AI have been echoed by other experts, including Elon Musk, who has also called for a moratorium on AI development.

Title:

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

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

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

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

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

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

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

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

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

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

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

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

In 2023, Hinton left Google, where he had been working, to speak freely about the dangers of AI and to warn about the potential risks of unmanaged AI development.

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

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

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

Poses ethical risks
Becomes uncontrollable

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

His resignation from Google was a significant event, as it highlighted the concerns of one of the leading experts in the field about the potential dangers of AI.

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

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

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

Hinton's warnings have been widely reported, and his concerns have sparked a debate about the need for responsible AI development and regulation.

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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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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?

According to Hinton, AI has the potential to contribute to many fields, but it also poses significant risks, including the potential for autonomous systems to wreak havoc.

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

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

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

Poses ethical risks
Becomes uncontrollable

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

He has also warned about the potential for AI to spread misinformation and to influence elections and wars.

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

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

What does Hinton warn "bad actors" could use AI for?

To win wars or manipulate the electorate.

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

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

Misuse in elections
Misinformation
Misuse in warfare

Hinton's concerns about AI are not limited to its potential impact on society, but also extend to its potential impact on jobs and employment.

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A simplified definition of artificial intelligence (AI) refers to systems or machines that mimic human intelligence and are designed to perform tasks and solve problems.
Artificial intelligence offers enormous advantages to human society in many fields, especially in medical science, education and media, food production and more efficient public transportation, and there are promising results in addressing climate change.
Experts believe that the growth of the use of artificial intelligence will make the lives of most people better in the coming decades.
In the other context, other experts have many concerns about the impact of advances in artificial intelligence on the humanitarian community and point to several challenges, the most prominent of which are five clear challenges:
First, there are perilous legal challenges due to the ways in which AI research is funded and used.
For example, how to counter the voracity of AI products for information, the problems of privacy violations, biases, and irrevocable decisions.
One case that has been widely discussed is how to determine the legal responsibilities resulting from the error of AI decisions in treatment, devices, and autonomous vehicles.
Second, fear of the growing impact of AI applications on jobs (work) which will increase job loss rates (as population rates accelerate).
For example, a robot (one of the applications of artificial intelligence) is clearly beginning to be used in factories and distribution and delivery points and its impact on unemployment rates in these professions.
According to a study by the McKinsey Global Institute, intelligent robots and agents could replace nearly 30% of the world ’ s current human labor by 2030.
Third, artificial intelligence is out of human control.
The late physicist Stephen Hawking said that if AI itself began to design better AI than human programmers, the result could be “machines beyond the human intelligence that designed them. ”
Elon Musk warns that artificial intelligence is “the greatest existential threat to humanity. ”
Studies have emerged of what is called AI singularity when future AI grows uncontrollably.
Fourth: The high cost of building artificial intelligence systems, not to mention the cost of development and maintenance.
Creating a machine that can simulate human logic and reasoning takes a lot of resources and time, making it too expensive for the powerless, and AI increases the gap between rich and poor countries.
Fifth: The challenge of addiction to the uses of artificial intelligence and the long-term consequences for future generations and the possibility of making people less intelligent. With the increasing use of machines in routine work, people will become less physically active, which means higher rates of diseases, mainly obesity, secondary diabetes and heart disease.
He said and went on:
Who speaks, who speaks, who speaks.

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

He has warned that AI could lead to significant job losses, particularly in industries where tasks are repetitive or can be easily automated.

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

This concern is shared by other experts, who have estimated that up to 40% of global employment is exposed to AI disruption or loss.

Title:

Content: AI Study Claims 2 Out Of 5 Human Jobs Will Be Disrupted Or Lost To Artificial Smarts

Artificial intelligence features and tools are making their way into every facet of life, from your computer at home to search engines and productivity tools. With this advancement, there has been a growing concern that AI will be replacing jobs, and research indicates that 40% of all jobs globally could be at risk of negative impact. While this seems like a startling figure, it opens the discussion of what we humans will do next.

Earlier this week, the International Monetary Fund (IMF), a Washington, DC-based financial institution with ties to the United Nations and IMF 190-member countries supporting economic stability, published research on “Artificial Intelligence and the Future of Work.” This research reported that “40 percent of global employment is exposed to AI, with advanced economies at greater risk,” the latter closing in on 60 percent of jobs exposed due to a prevalence of cognitive-task-oriented jobs. However, with this higher risk, more advanced economies also have the means to better leverage the benefits of AI than a developing or emerging economy.

The research also notes that AI will not be limited to any one job role or sector and that, effectively, every job is in the line of fire, as it were. Regardless of job roles, it is further noted that “the advent of AI could exacerbate inequality within countries along various dimensions, such as the income level of individuals, their education level, or their gender.” Effectively, AI has the potential to replace just about any job, increasing socioeconomic divides in nations that see broad adoption of the technology.

Moreover, the report finds that AI will affect older individuals more than younger individuals and that prior education influences individuals’ adaptability. However, these negative downsides also raise the opportunity for positive change. Namely, people should be looking for the implementation of policies that ensure social cohesion and “promote the equitable and ethical integration of AI and train the next generation of workers in these new technologies” while also “protect[ing] and help[ing] retrain workers currently at risk from disruptions.”

In short, given the looming economic and social pressures, individuals should look for policies that support and protect them in a time of technological advancement rather than shut down the advancement. This research also raises the question of when we as a society determine that it is a bad thing to have our jobs replaced by robots. It simply means that we have a new challenge in supporting each other better as humanity pivots to advancing not only the sciences, but arts and creative industries as well.
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What risks did Hinton associate with AI's rapid advancement?

In addition to the potential impact on jobs, Hinton has also warned about the potential risks of AI to global health and security.

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.
Download the app SBS Audio and follow Mandarin. You can also listen to and download SBS Mandarin audio stories anytime via Apple Podcast, Google Podcast, Spotify and other podcast platforms.
Please follow SBS Chinese for more Australian news.
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Published 10 May 2023 6: 18pm
By Madeleine Wedesweiler
Source: SBS
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He has noted that AI could facilitate the development of autonomous weapons, and that AI-powered surveillance systems could be used to oppress people.

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

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

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

What risks did 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

Hinton's concerns about AI have been echoed by other experts, including Denis Hassabis, the CEO of DeepMind, who has warned about the potential risks of AI.

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Content: Home » Tech » AI Could Match Human Intelligence In Five Years: Google DeepMind CEO
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AI Could Match Human Intelligence In Five Years: Google DeepMind CEO

Curated By: Shaurya Sharma

News18.com

Last Updated: May 04, 2023, 11:18 IST

New Delhi, India

Experts believe A.I. could match humans very soon. (Representative image/Reuters)

Denis Hassabis, who is the CEO of DeepMind, a startup that was acquired by Google in 2014, has made a bold claim that AI could reach human-level cognition in as little as five years.

2023 is shaping up to be the year of Artificial Intelligence—generative AI chatbots like ChatGPT, Bing, and Google’s Bard are making headlines. Human jobs are at risk, with IBM halting hiring for 7,800 roles. And, the fear of AI surpassing human capabilities persists. Geoffrey Hinton, known as the ‘Godfather of AI,’ left Google citing concerns about its dangers. Despite the benefits that AI can bring, such as increased efficiency and productivity, the fear of AI outpacing humans and becoming too smart for its own good is a fear that has been discussed time and again.

Now, another Google executive, Denis Hassabis, who is the CEO of DeepMind, a startup that was acquired by Google in 2014, has made a bold claim that AI could reach human-level cognition in as little as five years.

Hassabis, speaking at Wall Street Journal’s Future of Everything Festival in New York City, said that the developments in the Artificial Intelligence space shouldn’t be slowed down. “I think we’ll have very capable, very general systems in the next few years,” and he doesn’t “see any reason why that progress is going to slow down. I think it may even accelerate.” He added, “So I think we could be just a few years, maybe within a decade away.”

According to Fortune, Google announced last month that it was merging its core A.I. research team with DeepMind, the startup founded by Demis Hassabis, who would become the CEO of the newly combined unit. Google had acquired DeepMind in 2014.

RELATED NEWS

In related news, Geoffrey Hinton, who’s touted to be the ‘Godfather of AI, quit Google to express his concerns. Hinton, who has won the Turing award, the computer science equivalent of the Nobel prize, has expressed concern that future versions of AI could pose a threat because they often learn unexpected behavior from the vast amounts of data they analyze. This is particularly troubling as AI systems might soon generate and run their own code, which could lead to truly autonomous weapons and killer robots becoming a reality.

Read all the Latest Tech News here

first published:May 04, 2023, 11:18 IST
last updated:May 04, 2023, 11:18 IST

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?

Despite the concerns about AI, many experts believe that it has the potential to bring significant benefits, including improved efficiency and productivity.

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3 Ways That Artificial Intelligence (AI) Will Change Your Job Forever

Artificial Intelligence – smart machines able to “learn” how to carry out tasks and become increasingly good at them – is everywhere in work today, and will only be more ubiquitous tomorrow.

In fact Google’s CEO Sundar Pichai recently predicted that it will turn out to be the most profound human invention so far – more so that electricity, the internet, or even fire!

Certainly, I believe it has the potential to deeply impact everything about the way we live our lives, from how we travel, to how we connect and communicate with friends, and most definitely the way we work and do business.

Whatever job you do now, if it isn’t affected by AI already, it’s very likely that it will be at some point in the not-so-distant future. Here’s my rundown of the five most significant changes AI will make to the world of work in our lifetimes.

AI probably won’t make you redundant – yet!

It’s certainly true that machine learning – the AI technology that’s most relevant to business today – will be able to do some things so much more quickly and efficiently that it won’t be worthwhile to pay humans to do them anymore. This will include things like sensing, moving things around, scheduling, translating, and optimizing machinery. But the jury is still out over whether, in the long or short term, AI will lead to more jobs being lost or created.

One way to look at it is that AI, in theory, will lead to increased business growth and success. Often this will mean (hopefully) more customers. More customers mean more human problems that need to be solved – from complicated customer service issues requiring a human response to the challenge of consistently creating innovative products and services that meet the changing needs of humans. These are tasks that humans will be needed for, for a long time yet!

The arrival of AI is described today as the dawn of the "fourth industrial revolution." The first industrial revolution saw political opposition and public unrest from people who feared that agricultural and manufacturing machinery would cause widespread unemployment and even the collapse of society. That fear is still alive today. On the other hand, others believe that technology will lead us into an era that has been described as “fully automated luxury communism," where robots provide all our basic necessities at effectively no cost to us. Human beings are then free to spend their time on fulfilling and creative pursuits that give their lives value and meaning.

Both ideas present extreme outcomes, and we’re probably a long way yet from either. What is clear is that AI has the potential to relieve many of us of a lot of the mundane and repetitive elements of our work, so the best way to make sure we don’t become redundant is to work in jobs where our value is elsewhere!

Smart machines will augment and assist us

When we're carrying out those more human, creative, or strategic tasks that won't be automated any time soon, we can expect robots and smart machines to be there to lend a hand. Often this will mean having analytics-capable tools on-hand to make sure our decisions are underpinned by solid data. For example, HR roles will, for a long time yet, still require a human touch to solve human-specific problems. But increasingly, AI is used in recruitment to provide initial screening of the thousands of applications that many large companies attract whenever they advertise a vacancy. You might not be happy to hand over the entire responsibility of picking who will work for you to a machine, but it can greatly improve efficiency by providing early indications of who might be the most suitable applicants.

Those kinds of tasks are carried out by AI software running on machines such as PCs and tablets that we’re all used to, but we will increasingly find ourselves “working alongside” machines in a very literal sense, too. Collaborative robots (Cobots) work on the floor with humans in Amazon’s worldwide network of warehouses as well as facilities such as Ericsson’s 5G smart factory, where assembly, packing, and dispatch of its devices is carried out autonomously by machines while security drones patrol the premises to deter intruders. Online supermarket Ocado uses robots to pick and pack 50,000 customer orders per hour, navigating miles of shelves across football-pitch-sized warehouses.

Our ability and willingness to get along with our new robot colleagues is likely to play a big part in determining how successful we are in the world of work in the near future. For businesses, the challenge will be to make sure humans and robots are both spending their time on the jobs they are best at.

AI will create new types of jobs

Once again, the impact of earlier industrial revolutions is a good source of predictions on how this one might turn out. Certainly, plowmen, weavers, and smiths lost their jobs during the widespread adoption of mechanization in the early 19th century. But as the first mechanized industries emerged, populations became urbanized, and quality of life improved for many people. This led to business and human enterprise evolving to provide services needed to keep everything running and to keep people fed, happy, and entertained.

The same will undoubtedly be true of the AI revolution. Business and society are going through a period of adjustment as we come to understand the power of smart machines and automation, and the human skills needed to lead the way on this are in high demand. More roles are likely to appear involving the ability to identify areas where AI and automation resources will be most effective, for example. Another very valuable human skill right now is the ability to create “buy-in” – effectively developing trust among human workforces and bosses towards AI and smart machines because trust is essential for AI to work!

The key thing to remember here is that any job that can easily be automated is likely to be! Businesses need to ensure that their own workforce is in-tune with this forecasted future and equipped with the “human” skills that aren’t likely to be automated any time soon. These include emotional intelligence (empathy), creativity (AI can write songs but is unlikely to come up with anything that we will consider great music any time soon), and complex decision-making.

One way to think about the impact it will have, is to consider how the invention of "non-smart" machines (anything that can't be considered to be "artificially intelligent") impacted industry and commerce from the first industrial revolution to the dawn of the AI era, around ten years ago. During this time, machines took on much of the heavy lifting of our manual workload. Now we have "smart" machines; increasingly, they will take on the burden of managing our cerebral workload too – anything that requires thought, learning, or decision making!

Read more about AI, technology, and other future trends in my new book, Business Trends in Practice: The 25+ Trends That are Redefining Organizations.

Follow me on Twitter or LinkedInCheck out my website or some of my other work here

However, Hinton's warnings highlight the need for responsible AI development and regulation, to ensure that the benefits of AI are realized while minimizing its risks.

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?

In response to Hinton's concerns, Google has committed to a responsible approach to AI development, and has announced measures to address the risks associated with AI.

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

The UK Competition and Markets Authority has also launched a review of the AI sector, and the US government has announced measures to address the risks associated with AI development.

The White House has invested $140m in AI research institutes, with a focus on ethical development, and leading AI developers have agreed to public evaluation of their systems.

Overall, Hinton's warnings about AI highlight the need for responsible development and regulation, to ensure that the benefits of AI are realized while minimizing its risks.

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?

His concerns have sparked a debate about the need for responsible AI development, and have highlighted the potential risks and benefits of AI.

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?

As the field of AI continues to evolve, it is likely that Hinton's warnings will remain relevant, and that his concerns will continue to be debated by experts and policymakers.

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?

In conclusion, Geoffrey Hinton's warnings about AI are a significant concern, and highlight the need for responsible development and regulation.

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?

His contributions to the field of AI have been significant, and his warnings about the potential dangers of unmanaged AI are a call to action for experts and policymakers.

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

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

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

Advanced AI could pose an existential risk to humanity.

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

Poses ethical risks
Becomes uncontrollable

As the world continues to grapple with the potential risks and benefits of AI, Hinton's warnings will remain an important consideration, and his concerns will continue to be debated and discussed.

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?