Geoffrey Hinton is a pioneer in the field of artificial intelligence, known for his work on neural networks and deep learning, and his recent departure from Google in 2023 made headlines as he warned about the potential dangers of AI if not carefully managed.

He is known as the "godfather of artificial intelligence" for his work on neural networks.

Hinton's research laid the foundation for AI systems used today, and he is a pioneer in neural network technology.

He co-founded DNNresearch, which was acquired by Google for $44 million in 2013, and later joined Google as Vice President and Engineering Researcher, working on Google Brain.

Hinton has expressed concerns about AI's potential to harm humanity and pose an existential threat, warning that AI might become too smart and pose a threat to humanity.

He left Google in 2023 to speak freely about AI's potential risks without harming the company, and to focus on AI security.

Hinton was awarded the Turing Award in 2018 for his contributions to neural networks and deep learning, recognizing his significant contributions to the field of AI.

He has warned about the dangers of AI development, including the potential for AI to spread false information, influence elections, and create lethal autonomous weapons.

Hinton's concerns about AI have made headlines, and he has been quoted as saying that AI could surpass human intelligence soon, posing a significant threat to humanity.

He has also warned about the potential for AI to replace jobs, create fake content, and eliminate humans, highlighting the need for careful management and regulation of AI development.

Other experts have responded to Hinton's concerns, with some signing a moratorium on AI development, while others have disagreed with suspending AI research development.

The public should understand that Hinton's warnings are not unfounded, and that the development of AI poses significant risks and challenges that need to be carefully managed.

Hinton's work on neural networks has led to significant advancements in AI systems, and his contributions have been recognized as fundamental to the development of contemporary AI systems.

He has used OpenAI's ChatGPT and is uneasy about its capabilities, highlighting the need for careful consideration and regulation of AI development.

Overall, Geoffrey Hinton's biography and contributions to artificial intelligence demonstrate his significant impact on the field, and his warnings about the dangers of AI development should be taken seriously.

The US government and tech giants have agreed to regulate AI development, with seven tech companies committing to AI security measures, including developing watermark systems to identify AI-generated content.

The European Union has proposed AI regulatory bills, and the US Congress is considering a bill to disclose AI use in political ads, demonstrating a growing effort to establish regulations for AI development.

International collaboration is necessary for AI regulation in healthcare, with clear regulations needed to protect patients from incorrect diagnoses and data misuse.

Governments and industries must collaborate to establish effective regulations for AI development, with international organizations playing a crucial role in coordinating efforts and addressing scientific issues.

The G7 countries are creating a code of conduct for companies developing AI, aiming to ensure transparency and accountability in AI development and deployment.

The United Nations is developing global guidelines for AI, focusing on ethics and human rights, highlighting the need for international cooperation in regulating AI.

Experts warn that more work is needed to identify the harms of AI, and that incentives should be aligned among stakeholders to maximize the benefits of AI.

The EU AI Act establishes a regulatory environment for AI systems, categorizing them into risk levels with corresponding regulations, and prioritizing fundamental rights like privacy and data protection.

International organizations can collaborate with the EU on AI governance, and transparency and accountability are key principles of the EU AI Act.

Governments and industries must collaborate to guide AI development, with international principles and norms needed for AI development, and civil society involvement necessary for AI development guidance.

International cooperation is crucial for addressing cyber threats, and countries must coordinate policy responses to cyberattacks, sharing information and building capacity to improve collective resilience.

The public should understand that AI has the potential to contribute significantly to sustainable development, but ethical considerations and fairness in AI development are essential, and transparency and accountability in AI decision-making are critical.

Establishing a comprehensive regulatory framework for AI is necessary, and investing in AI infrastructure and research is vital for its development, with public awareness and education on AI necessary for responsible adoption.

UNESCO has proposed steps for countries to regulate AI in education, including adopting international data protection regulations, reviewing and funding national strategies on AI, and establishing specific AI ethics regulations.

Geoffrey Hinton's warnings about the dangers of unmanaged AI have highlighted the need for careful regulation and management of AI development, with experts responding to his concerns by emphasizing the importance of international cooperation and effective regulations.

The role of international organizations in establishing effective regulations and safeguards for AI development is crucial, as they can coordinate efforts, address scientific issues, and provide a framework for global governance.

Governments and industries should collaborate to establish regulations that prioritize transparency, accountability, and human rights, ensuring that AI development is guided by ethical considerations and fairness.

Geoffrey Hinton is a pioneer in the field of artificial intelligence, known for his work on neural networks and deep learning, and his recent departure from Google in 2023 made headlines as he warned about the potential dangers of AI if not carefully managed.

Title:

Content: Jeffrey Henton quits his job at Google.
He warns of the dangers of artificial intelligence.
2023 / 05 / 01 | 22: 17 - Source: CNN in Arabic
Jeffrey Hinton, nicknamed “the godfather of artificial intelligence, ” confirmed Monday that he left his role at Google last week to speak publicly about the“ risks ” of the technology he helped develop.
Note: The content titled Geoffrey Henton is quitting his job at Google.
He warns of the dangers of artificial intelligence) first published on the site (CNN in Arabic) and does not bear the encyclopedia of this day news content in any way.
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He warns of the dangers of artificial intelligence) through its original source (CNN in Arabic).
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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?

Becomes uncontrollable
Poses ethical risks

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

He is known as the "godfather of artificial intelligence" for his work on neural networks.

Title:

Content: Global News
The world today - the "godfather" of artificial intelligence reveals why he left Google
You are now following the news of the "godfather" of artificial intelligence reveals the reason for his departure from "Google" from the Department of World News and now we leave you with the full details
MOHAMMED, Abu Dhabi, May 2, 2023 06: 22 AM - Jeffrey Hinton, nicknamed "the father of artificial intelligence", revealed on Monday that he quit his job at Google last week, in order to speak publicly about the "dangers" of the technology he helped develop.
Hinton ’ s work on neural networks has shaped artificial intelligence systems that power many of today ’ s technology products.
Hinton, who worked part-time at Google for a decade, contributed to the tech giant ’ s AI development efforts, but has since had concerns about the technology and its role in its development.
In an interview with The New York Times, Hinton said, “I consolate myself with the common excuse: if I hadn ’ t done it, someone else would have done it. ”
Hinton attributed his decision to leave Google to his desire to speak freely about the dangers of artificial intelligence, not to criticize the company, as he tweeted on Monday.
Google ’ s chief scientist, Jeff Dean, commented on Hinton ’ s decision: “He has made major breakthroughs in artificial intelligence, ” expressing appreciation for“ a decade of contributions to Google. ”
In a statement to CNN, Dean said: “We remain committed to a responsible approach to artificial intelligence.
We are constantly learning to understand emerging risks while boldly innovating. ”
Hinton ’ s decision to want to expose his concerns about artificial intelligence came as a growing number of lawmakers and groups raised warnings about the possibility of a new set of chatbots spreading fake information and eliminating a slew of jobs.
Hinton is not the first Google employee to alert to the dangers of artificial intelligence: in July, the company fired an engineer who claimed that an undisclosed intelligence system had become conscious, while many in the technical field strongly refused to confirm what the engineer said.
We hope that we have succeeded in conveying the full details of the news of the "spiritual father" of artificial intelligence reveals the reason for his departure from Google..
In God ’ s care and protection.
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What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

Hinton's research laid the foundation for AI systems used today, and he is a pioneer in neural network technology.

Title:

Content: Geoffrey Hinton, the godfather of AI, said after leaving Google that artificial intelligence is becoming smarter than humans.
2023 / 5 / 3 16: 46: 16 Source: IT House Author: Yuanyang Editor: Yuanyang
IT home May 3 news, one of the pioneers in the field of artificial intelligence, known as the "godfather of AI" Geoffrey Hinton (Geoffrey Hinton) recently announced that he has left the Google company he worked for ten years, because he is increasingly worried about the development of artificial intelligence technology.
In an interview with CNN's Jake Tapper today, he said that he believes artificial intelligence is becoming smarter than humans, and he wants to "blow the whistle" to remind people that they should seriously consider how to prevent artificial intelligence from controlling humans.
I'm just a scientist who suddenly realizes that these things are becoming smarter than we are, "Hinton said." I want to 'blow the whistle' in a way that says we should seriously worry about how to stop these things from taking control of us. "
Hinton was a pioneer in neural network technology, and his research laid the foundation for the artificial intelligence systems used in many products today.
IT House previously reported that he first revealed his departure in an interview with The New York Times on Monday and expressed his concerns about the potential harms of AI technology.
He said he was concerned that AI would lead to mass unemployment and create a world where many people “can ’ t know what ’ s real. ”
He also noted that the pace of advances in AI technology has far exceeded his and others ’ expectations.
If it becomes much smarter than us, it ’ s going to be very good at manipulating because it ’ s learned from us, and there are very few examples of a smarter thing being controlled by a dumber thing, ” Hinton told Tapper on Tuesday.
It will figure out ways to manipulate people into doing what it wants.
Hinton isn ’ t the only tech leader to express concerns about AI, and in March, a group of community members published a letter calling on AI labs to suspend training for at least six months on the most powerful AI systems, citing “profound risks to society and humanity. ”
Apple co-founder Steve Wozniak, one of those who signed the letter, reiterated concerns about artificial intelligence spreading false information on “CNN Morning ” on Tuesday.“ Deception will become easier for those who want to cheat you. ” Wozniak told CNN, “We ’ re not making any changes in that — we ’ re just assuming that our existing laws will fix the problem. ” Wozniak also said there may be a need for“ some type ” of regulation.
Hinton said he did not sign the petition. “I don ’ t think we can stop this progress, ” he said.“ I didn ’ t sign the petition saying we should stop studying artificial intelligence, because if the Americans stop doing research, the Chinese won ’ t. ” But he admitted that he didn ’ t have a clear solution, “I don ’ t know if we can solve this problem. ”
I believe we should try to think about ways to solve the problem.
I don't have a solution at the moment. '
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What breakthroughs has Hinton achieved through his 40+ years of work on artificial neural networks?

Breakthroughs that mimic biological brains

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

He co-founded DNNresearch, which was acquired by Google for $44 million in 2013, and later joined Google as Vice President and Engineering Researcher, working on Google Brain.

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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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Hinton has expressed concerns about AI's potential to harm humanity and pose an existential threat, warning that AI might become too smart and pose a threat to humanity.

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?

Becomes uncontrollable
Poses ethical risks

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.

He left Google in 2023 to speak freely about AI's potential risks without harming the company, and to focus on AI security.

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.

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

Hinton was awarded the Turing Award in 2018 for his contributions to neural networks and deep learning, recognizing his significant contributions to the field of AI.

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

He has warned about the dangers of AI development, including the potential for AI to spread false information, influence elections, and create lethal autonomous weapons.

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’.

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

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

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

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

Advanced AI could pose an existential risk to humanity.

What does Hinton warn "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?

Hinton's concerns about AI have made headlines, and he has been quoted as saying that AI could surpass human intelligence soon, posing a significant threat to humanity.

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 future risk did Hinton warn about AI?

He has also warned about the potential for AI to replace jobs, create fake content, and eliminate humans, highlighting the need for careful management and regulation of AI development.

Title:

Content: With a PhD in AI 45 years ago, Hinton is one of the most respected experts in the field of AI.
He worked in AI development at Google for 10 years, developing AI systems for Google, but he gradually became concerned about AI technology and his role in AI progress.
Hinton said via Twitter on the 1st that leaving Google would allow him to speak freely about the risks of AI, rather than criticising Google.
In an interview with The New York Times, Hinton admitted that I used a common excuse to comfort myself: "If I didn't do it, someone else would do it."
Hinton also warned the world about the potential threat of AI.
“I used to think that the threat would only happen in 30 to 50 years, or more, but I don ’ t think that anymore, ” he said.
He pointed out that the near-term risks of AI include replacing jobs, as well as a large number of fake photos, fake videos, and fake text that make it impossible to tell whether it is true or not.
Hinton now believes that the digital intelligence created by humans is quite different from the biological intelligence, the former can obtain a large amount of knowledge, which is why GPT-4 has far more knowledge than anyone else.
Hinton warned about AI before he left Google.
In an interview with CBS News in March, when he was asked about “AI ’ s chances of eliminating humans, ” he replied,“ It ’ s not unthinkable, I can only say that. ”
Hinton also said in a 2021 speech that AI will advance health care, but also create opportunities to develop lethal autonomous weapons.
Google CEO Richard Pichai has also publicly warned about the risks of AI.
He said on “60 Minutes ” in April that society was not ready for new technologies, but he downplayed the risk that advances in AI would outpace human adaptability.
Hinton has spent less time at Google over the past year, most recently as vice president and engineering researcher, reporting to Google Brain ’ s Jeff Dean. He said in a statement that Hinton made a fundamental breakthrough in AI and thanked him for his 10 years of contributions to Google.
# System # Plenty # AI # Hinton # Google

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

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

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

Advanced AI could pose an existential risk to humanity.

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

What future risk did Hinton warn about AI?

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

Other experts have responded to Hinton's concerns, with some signing a moratorium on AI development, while others have disagreed with suspending AI research development.

Title:

Content: AI Godfather Hinton: Artificial intelligence threatens humanity more urgently than climate change
Central News Agency
Geoffrey Hinton, a pioneer in artificial intelligence (AI), said in an interview with Reuters today that the threat posed by AI to humans may be “more urgent ” than climate change.
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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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The public should understand that Hinton's warnings are not unfounded, and that the development of AI poses significant risks and challenges that need to be carefully managed.

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Content: Wednesday, December 13, 2023
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Science & NatureA.I. doesn't bleed

A.I. doesn’t bleed

by John Clinton, Ramsay

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

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

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

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

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

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

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

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

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

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

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

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

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

“So what should we do?”

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

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

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

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

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

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

Advanced AI could pose an existential risk to humanity.

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

Becomes uncontrollable
Poses ethical risks

What risks did the global summit report highlight about AI?

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

Hinton's work on neural networks has led to significant advancements in AI systems, and his contributions have been recognized as fundamental to the development of contemporary AI systems.

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

Breakthroughs that mimic biological brains

He has used OpenAI's ChatGPT and is uneasy about its capabilities, highlighting the need for careful consideration and regulation of AI development.

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

Overall, Geoffrey Hinton's biography and contributions to artificial intelligence demonstrate his significant impact on the field, and his warnings about the dangers of AI development should be taken seriously.

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?

Becomes uncontrollable
Poses ethical risks

The US government and tech giants have agreed to regulate AI development, with seven tech companies committing to AI security measures, including developing watermark systems to identify AI-generated content.

Title:

Content: Government and tech giants reach agreement to ensure safe use of AI technology
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WASHINGTON (AP) — The U.S. government has entered into a voluntary agreement with seven major technology companies to regulate the development of artificial intelligence (AI) technologies to develop guidelines aimed at ensuring the safe development of AI technologies.
The White House announced Friday that the seven tech giants have committed to a number of measures to safeguard AI security, including internal and external security testing before releasing products, and the development of watermark systems to help users identify AI-generated content and reduce the risk of fraud and misinformation.
Biden met with tech leaders from the big four Internet giants of Microsoft, Google, Amazon and Facebook parent Meta, as well as three AI startups, OpenAI, Anthropic and Inflection AI, ChatGPT ’ s parent company.
Biden stressed that "[artificial intelligence] poses great risks to our society, economy, and national security, but also incredible opportunities."
"We welcome the president's leadership role in bringing together the tech industry and developing concrete steps to make artificial intelligence safer," OpenAI partner Microsoft said in a blog post on the day.
These companies adhere to the three basic principles of “safety, security and trust ” in the development of AI technology.
However, the pace of regulation in the United States lags behind the European Union.
The European Parliament has proposed a series of artificial intelligence regulatory bills in June.
However, some tech companies are opposed to the strict rules set by Europe.
Congress is considering a bill that would require political ad producers to disclose whether they use artificial intelligence.
Experts see the government ’ s agreement with tech companies as a positive step toward AI regulation, but also warn that more work needs to be done to identify AI ’ s potential harms and ways to mitigate them.
"It's still early days and no one knows what the law will look like," said Chris Lewis, president of consumer group Public Knowledge, which is calling for an independent body to regulate artificial intelligence and other tech companies.
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The European Union has proposed AI regulatory bills, and the US Congress is considering a bill to disclose AI use in political ads, demonstrating a growing effort to establish regulations for AI development.

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

International collaboration is necessary for AI regulation in healthcare, with clear regulations needed to protect patients from incorrect diagnoses and data misuse.

Title:

Content: The use of Artificial Intelligence (AI) in healthcare has gained significant traction in recent years. From large language models like ChatGPT, BLOOM, and Stable Diffusion to specialized AI models like Med-PaLM, AI is transforming various aspects of medical practice. However, as AI continues to evolve, it raises important questions about the role of doctors, patient safety, and the need for regulation.

The benefits of AI in healthcare are vast. It can enable more precise diagnoses using imaging technology, automate early disease detection through the analysis of health and non-health data, and generate instant clinical plans for patients. AI also has the potential to address challenges caused by the COVID-19 pandemic, such as productivity issues and backlogs in testing and care.

However, to fully realize the potential of AI in medicine, clear regulations are necessary. Patients must be protected from incorrect diagnoses, improper use of personal data, and biased algorithms. Additionally, there is a need for coordination, adaptation, and accountability in governance approaches.

Regulators should collaborate internationally to fill the governance gap and establish frameworks for AI usage in healthcare. Government agencies, such as the International Coalition of Medicines Regulatory Authorities, can play a vital role in coordinating efforts and addressing scientific issues related to AI in healthcare.

To ensure adaptability and product safety, regulators can establish regulatory sandboxes and implement a rolling-review market authorization process. Continuous assessment of AI systems after market entry is also crucial to prevent flawed patterns and biased outcomes.

Moreover, new business and investment models are needed to foster collaboration between technology providers and healthcare systems. Clear commitments to transparency and public accountability are essential for successful partnerships. Incentives should be aligned among doctors, patients, hospitals, and tech companies to maximize the benefits of AI in healthcare.

In conclusion, AI has the potential to revolutionize healthcare by enabling more precise diagnoses, improving care accessibility, and addressing the challenges faced by the industry. However, the responsible integration of AI requires robust regulations, international cooperation, adaptability, and transparent partnerships. By addressing these challenges, we can harness the full potential of AI for the benefit of patients and healthcare systems worldwide.

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

Governments and industries must collaborate to establish effective regulations for AI development, with international organizations playing a crucial role in coordinating efforts and addressing scientific issues.

The G7 countries are creating a code of conduct for companies developing AI, aiming to ensure transparency and accountability in AI development and deployment.

Title:

Content: Newsnews

Governments Are Taking Action To Regulate AI

In a move to address the growing concerns around artificial intelligence (AI), G7 countries are taking steps to create a code of AI conduct for companies. This comes as the Biden administration in the United States has issued an executive order regarding the regulation of AI. The aim is to ensure that AI technologies are developed and deployed responsibly and ethically.

Key Takeaway

G7 countries are working to establish a code of conduct for AI, while the Biden administration has issued an executive order to regulate AI in the United States. These efforts aim to ensure responsible and ethical AI development, addressing concerns around privacy, fairness, and security.

Regulating AI to Protect Consumers and Society

The increasing prevalence of AI in various industries has raised concerns about its potential impact on privacy, security, and fairness. With AI being integrated into critical systems such as healthcare, transportation, and finance, there is a need for comprehensive regulations to safeguard consumers and society.

The G7 countries, including the United States, Canada, France, Germany, Italy, Japan, and the United Kingdom, are working collectively to establish a code of conduct for AI. This code will outline guidelines and principles that companies should adhere to when developing and deploying AI technologies. The goal is to ensure transparency, accountability, and fairness in AI systems.

The Biden administration’s executive order seeks to strengthen the governance and regulation of AI within the United States. It emphasizes the need for collaboration between government agencies, industry, and academic institutions to address the ethical and societal implications of AI. The order aims to promote responsible AI development, mitigate biases, protect privacy, and ensure the safety and security of AI systems.

Implications for Tech Companies

The code of AI conduct and the executive order will have significant implications for tech companies involved in AI development and deployment. They will need to consider the ethical implications of their AI technologies and take appropriate measures to ensure transparency and fairness.

Companies will need to invest in robust AI governance frameworks that promote responsible AI development and mitigate potential biases. This will involve implementing processes for data privacy protection, algorithmic transparency, and bias detection and mitigation.

The increased regulation of AI is a positive step towards addressing the concerns surrounding the technology. It will help build trust among consumers and ensure that AI is used in a manner that benefits society as a whole.

The United Nations is developing global guidelines for AI, focusing on ethics and human rights, highlighting the need for international cooperation in regulating AI.

Title:

Content: Artificial intelligence.
An actual revolution or an exaggeration for the sake of promotion?
In the past eight months, the debate has escalated over concerns related to the development of artificial intelligence amid unrivalled global interest in the artificial intelligence technology known as “Chat GBT ”.
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As tech companies compete to develop and deploy AI tools similar to Chat BT, many people have expressed concerns about the possibility of new challenges at different levels that could face humanity as a whole.
On the other hand, another team supports this industry as an important source of many benefits in all economic sectors, but they themselves warned of the risks that can accompany its development, especially generative artificial intelligence, which requires the organization of this industry before humans fall victim to the decline in negative trends.
The growing controversy over this phenomenon has taken a serious turn to the extent that a question has been raised on the surface.
Will the development of artificial intelligence at this pace be in the interest of humanity or will it be a reason to drag it into the abyss?
Amid this disagreement, there are those who believe that the matter has been greatly exaggerated for the purpose of promoting the products of companies in the artificial intelligence sector, because everything that happens to date revolves in the orbit of limited artificial intelligence, which does not exceed the receipt of instructions by humans and re-put to humans, including Alexa, Siri and Chat GB.
Among the experts, the concerns associated with artificial intelligence include the possibility of job losses due to automation, fears of its progress beyond human intelligence, and others related to the dissemination of misleading information as generative AI can provide society with fake news if fed with fake data.
The experts pointed to legitimate concerns about the possibility of the impact of generative artificial intelligence negatively on intellectual property, especially in the creative industries, and negatively affect the processes of education and human ability to innovate, and fears of the development of the capabilities of artificial intelligence technologies to be able to take decisions away from the human element or control by parties seeking to use them for illegal purposes.
Two months ago, chat gbt creator Sam Altman called on US lawmakers to regulate artificial intelligence and create a new licensing body for AI companies.
Altman ’ s call was based on his recognition of the impact AI can have on the economy, which includes the potential for AI to replace some jobs, and its potential dangers in spreading misinformation and other negative trends.
Strategic Technical Consultant M. Hani Mahmoud Al-Batsh stressed that the field of artificial intelligence is a rapidly evolving field and has the potential to revolutionize many aspects of our lives.
However, Batsh stressed that one of the biggest concerns associated with artificial intelligence is the possibility of job losses due to automation.
Al-Batsh said: “Artificial intelligence and its development increases its ability to replace humans in many industries, which contributes to increasing unemployment rates. ”
“AI algorithms can also be biased and discriminatory, resulting in unequal treatment of certain groups of individuals, such as people of different races or genders. ”
Other challenges and concerns associated with artificial intelligence, according to Al-Batsh, are those related to personal data, noting that most artificial intelligence systems rely on large amounts of data, which can include sensitive personal information that may fall into the hands of entities that may use it for illegal purposes.
"There are concerns that artificial intelligence could be used to develop weapons that could be used to target and kill people," he said.
Al-Batsh stressed that artificial intelligence systems are relatively complex, which makes it difficult to determine how they make decisions, so there are fears that artificial intelligence will one day become so advanced that it exceeds human intelligence and becomes impossible to control, pointing out that this may lead to a number of unexpected and sometimes disastrous results.
Governments are concerned about the security risks posed by the AI industry, as it has become more advanced, it may use the industry to launch cyber attacks or other types of attacks that may be difficult to detect and defend.
A few months ago, the G7 countries agreed to adopt regulations for these technologies in light of privacy concerns and security risks, to ensure transparency and counter misinformation.
But the G7 countries agreed that the regulations should also "maintain an open and encouraging environment" for the development of artificial intelligence technologies and be based on democratic values.
Wasfi Safadi, an expert in the field of communications and technology, believes that there are fears of artificial intelligence as a result of the development of its technologies to become self-evolving largely dependent on the amount of information it can access, analyze and use in several fields and different industries.
Safadi stressed that the fears of artificial intelligence come because today we can not imagine where artificial intelligence can reach?
Will it be for the good of mankind or will it be the cause of the annihilation of mankind?
He pointed out that a number of countries have sounded the alarm, for example, Italy issued a decision to ban the application of such as "Chat GB", for violating the privacy of minors by collecting data on them, calling for the existence of international legislation on the ethics of artificial intelligence to reduce the damage that can violate human rights and humanity, especially with regard to the bad use of humanity and humanity.
He pointed to the open letter signed by dozens of people working in the field of artificial intelligence last March, including billionaire Elon Musk, and called for a temporary halt to all efforts to develop more advanced versions of the current version of the chat robot ChatGB, until strict security measures are reached and implemented.
Safadi said: “With our reliance on technology and the Internet to a great extent today, and with this superior knowledge and ability to control industries by artificial intelligence technologies, we are facing a machine capable of, for example, manufacturing deadly biological and chemical weapons, developing DNA sequences, violating privacy, especially with deep counterfeiting able to create your identity and use it in many ways. seconds".
One of the most prominent figures who stressed the potential dangers of artificial intelligence systems, Jeffrey Hinton, a pioneer in the world of artificial intelligence, or as they like to call him "the father of artificial intelligence", said this year that despite the great benefits of artificial intelligence systems in all fields, including military and economic, he is concerned that these systems set themselves sub-goals that are not in line with the interests of their programmers.
Hinton, who has quit his job at Google, expressed concern about the catastrophic misuse of artificial intelligence systems by “malicious ” actors, he said,“ they may exploit artificial intelligence for bad purposes, ” and expressed concern about the negative effects on jobs in the labor market.
Dr. Jafar Al-Sarayreh, Director of the Consultancy and Training Center at Princess Sumaya University for Technology, stressed that a regulatory framework and procedures for the use of artificial intelligence must be developed, including a number of policies and laws governing the use of such technologies locally and globally, pointing out the importance of the participation of stakeholders in the development of this regulatory framework, including government, companies, academic institutions, civil society and experts in the field of artificial intelligence.
He pointed out that at the global level, there are initiatives and institutions working to develop regulatory frameworks for artificial intelligence, including the United Nations is developing global guidelines for artificial intelligence focusing on ethics, human rights, transparency and responsibility.
The Minister of Digital Economy and Entrepreneurship, Ahmed Al-Hananda, recently told Al-Ghad that "the government is following with interest the developments in the field of artificial intelligence, and is constantly working to empower society, the private sector and government institutions to benefit from all technical developments, including artificial intelligence, within the framework of the digital transformation process on which it is based.
He stressed that the government has been preparing for years to benefit from the developments of artificial intelligence by approving the Jordanian Artificial Intelligence Policy, the National Code of Ethics for Artificial Intelligence, the Jordanian Strategy for Artificial Intelligence and the Executive Plan (2023-2027), the project to measure the readiness of public sector institutions to adopt artificial intelligence, and technical cooperation with the Japan International Cooperation Agency.
Technical expert Hossam Khattab, described the technology of artificial intelligence as: "take away the hearts", and what one may notice at the moment that the term "has become marketing", and that all we see and hear about today is only devices that carry out automated tasks.
He pointed out that companies are racing to describe their products as relying on artificial intelligence, because it is a common technology and no one wants to be left behind.
For example, ChatGPT, which says, “still doesn ’ t work on AI in the big sense, ” in its case the machine doesn ’ t think, it receives commands, and decides on the optimal set of words to answer based on a large database it has been trained on.
Among Khattab, the types of artificial intelligence, the first of which is limited artificial intelligence Narrow AI: applications smart assistants such as Alexa, Siri and ChatGPT, applications that are programmed to carry out specific tasks, and do not have intelligence.
“The second type is general artificial intelligence: a machine understands and performs multiple tasks based on accumulated experience, which is similar to human intelligence.
The machine is conscious, analyzing and thinking, and it is unrealized in today ’ s products. ”
“The third type is super AI: in which the machine exceeds human intelligence in all areas and tasks, and the machine is able to learn and develop itself, which is a theoretical concept until this moment, ” Khattab said.
“We still have not dealt with machines that think independently of human intervention, self-develop, learn and excel at their programmer, and all the commercial applications available now revolve around the orbit of limited artificial intelligence, it is necessary to understand this fact, which is overlooked or overlooked by companies and people intentionally or unintentionally. ”
He pointed out: "The limited artificial intelligence is similar to the tasks that we previously carried out, but it has become faster automatically, and most of what we hear about falls under this category.
Either the machine thinks like humans, or they are smarter than humans, the concept does not yet have commercial applications, a reality that companies may have overlooked. ”
The General Manager of Pure Analysis for Management and Technology Consultancy, Dr. Moataz Mohammed Al-Dabai, said: “It is important to carefully consider the potential disadvantages of artificial intelligence and take steps to mitigate them and work to control its negative impact on humanity. ”
He called for a balance between the suitability of artificial intelligence and the need to maintain our cognitive abilities and self-sufficiency.
He pointed out that the main concerns in this area relate to the excessive reliance on artificial intelligence in the performance of life and professional work, which is likely to lead to the loss of our basic skills and lack of confidence in our human capabilities.
He pointed out that this could develop to the extent that it could lead to the loss of the ability to innovate and creative thinking and the inability of humanity to respond to special and unexpected circumstances.
He cited, for example, the increasingly widespread use of voice assistants, on which people may rely heavily for basic tasks such as reminding of appointments and tasks to be accomplished, such as making phone calls or ordering goods and services.
“This over-reliance on artificial intelligence could lead to a decline in communication and social skills, ” he said.
AI can be used to create personalized, highly targeted and personalized ads or content that can have a negative impact on mental health by promoting negative biases, stereotypes or insecurity.

Experts warn that more work is needed to identify the harms of AI, and that incentives should be aligned among stakeholders to maximize the benefits of AI.

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

The EU AI Act establishes a regulatory environment for AI systems, categorizing them into risk levels with corresponding regulations, and prioritizing fundamental rights like privacy and data protection.

Title:

Content: The EU AI Act Overview

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The European Parliament achieved a key milestone by adopting the landmark Artificial Intelligence Act, paving the way for the European Union's first complete legal framework for artificial intelligence (AI).
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The European Parliament achieved a key milestone by adopting the landmark Artificial Intelligence Act, paving the way for the European Union's first complete legal framework for artificial intelligence (AI). This pioneering law seeks to achieve a compromise between the AI industry's need for innovation and the imperatives of upholding fundamental rights and guaranteeing the security and reliability of AI systems. The EU's determination to lead the world in ethical AI governance is reflected in the EU AI Act which upholds citizens' rights and interests while promoting a strong technological environment.

Ensuring Safety and Protecting Rights

The primary objective of the EU AI Act is to establish a regulatory environment that ensures AI systems deployed within the EU are safe, transparent, and respect fundamental rights. This is achieved through a risk-based approach that categorises AI systems into different risk levels, each with corresponding regulatory requirements. High-risk AI systems, which pose significant risks to health, safety, or fundamental rights, are subject to stringent regulations, including rigorous testing, documentation, and human oversight.

The EU AI Act mandates that AI systems must be designed and developed in a manner that upholds fundamental rights, such as privacy, non-discrimination, and data protection. This emphasis on fundamental rights reflects the EU's commitment to creating a human-centric AI landscape, where technology serves the needs and values of society. By prioritizing the safety and rights of individuals, the legislation aims to build public trust in AI technologies, which is crucial for their widespread adoption and acceptance.

Boosting Innovation and Competitiveness

The EU AI Act aims to encourage innovation and competitiveness in the AI industry even as it places stringent limitations on high-risk AI systems. The law contains provisions intended to aid in the creation and application of AI technology, especially for startups and small and medium-sized businesses (SMEs). The intention is to foster innovation by lowering administrative burdens and offering clear legislative rules, which will promote the development of a thriving AI ecosystem in Europe.

Focusing on encouraging cooperation between the public and private sectors is one of the main features of the EU AI Act. To guarantee that AI technologies are created in accordance with societal needs and values, the act promotes collaboration and partnerships between researchers, developers, and regulatory organisations.

By adopting a risk-based approach to regulation, it recognises that not all AI systems pose the same level of risk. The legislation classifies AI systems into three main categories: unacceptable risk, high risk, and limited risk. This tiered approach allows the EU to tailor its regulatory framework to the specific risks associated with different AI applications, ensuring that regulations are proportionate and effective.

Transparency and Accountability

Transparency and accountability are key to the EU AI Act's principles. The law requires AI systems to be open about how they operate and make decisions, especially those that are deemed high-risk. This entails giving consumers information that is easy to comprehend regarding the operation of AI systems, the data they use, and the reasoning behind their choices.

The statute mandates that high-risk AI systems be created in a way that permits efficient human intervention, underscoring the significance of human control. This guarantees that people maintain control and have the ability to step in when needed to stop damage or fix mistakes, and to ensure that AI technologies are used responsibly and ethically by increasing accountability and transparency.

EU Leadership in AI Governance

The adoption of the EU AI Act establishes the EU as a global leader in AI governance, laying the groundwork for other governments and regions to follow. The EU wants to ensure that AI technologies are used responsibly and ethically, making a positive impact on society, by creating a thorough legal framework.

The EU's commitment to advancing global collaboration in AI governance is also reflected in the legal framework. The law has measures for working together with foreign partners, including exchanging best practices and creating international standards. The EU aims to provide a harmonised legal framework that protects fundamental rights, ensures the safe use of AI technologies, and promotes innovation through international cooperation.

EU AI Act Next steps

The regulation will enter into force 20 days after its publication in the official journal and be directly applicable to 27 Member States, including Malta, on 2nd August 2026, except for bans on prohibited practises, which will apply 6 months after the entry into force date; codes of practise (9 months after entry into force); general-purpose AI rules including governance (12 months after entry into force); and obligations for high-risk systems (36 months).

Businesses will have to ensure alignment with the following:

  • Inventory all AI systems that you have (or will have) developed or deployed, and establish if any of them are subject to the EU AI Act.
  • In order to ascertain the risk categorization of the in-scope AI systems and the relevant compliance requirements, evaluate and classify the systems.
  • Acknowledge your company's place in pertinent AI value chains, the related compliance requirements, and the means by which these requirements will be fulfilled. All functions accountable for the AI systems along the value chain must incorporate compliance throughout the systems' lifecycle.
  • Understand the additional risks (such as interacting with other EU or non-EU rules, such as those pertaining to data privacy) and opportunities (such as providing access to AI Act sandboxes for innovators, small and medium-sized businesses, and others) that the AI Act presents to the strategy and operations of your organisation.
  • Develop and implement a plan to guarantee that, upon the Act's implementation, the proper risk and control systems, quality management, documentation, accountability and governance frameworks, and monitoring are in place.

The purpose of this article is to provide a general overview of the subject matter. Should you require additional information please refer to Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024.

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

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International organizations can collaborate with the EU on AI governance, and transparency and accountability are key principles of the EU AI Act.

Governments and industries must collaborate to guide AI development, with international principles and norms needed for AI development, and civil society involvement necessary for AI development guidance.

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Content: Huang Xuncai: All sectors must formulate international principles and norms to guide the development of artificial intelligence
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Addressing the advantages and disadvantages of dual-use technologies such as artificial intelligence cannot be left to enterprises alone, but governments, industry and civil society must work together to guide the development of artificial intelligence through the formulation of international principles, norms and guidelines.
In his opening remarks at the 4th Singapore Defence Science and Technology Summit held at the Shangri-La Hotel on Thursday (23 March), Deputy Prime Minister and Minister of Finance, Mr Wong Soo-tsai, addressed the opportunities and challenges posed by dual-use technologies.
He pointed out that commercial competitive pressures drive innovation and enable companies to develop cutting-edge high-quality products, which cover areas such as artificial intelligence, robotics, digital communications and biotechnology.
Therefore, the traditional distinction between civilian and military science and technology has been blurred, and the scope of dual-use science and technology is expanding.
This has serious implications for defense institutions around the world, Huang said.
On how to make effective use of the opportunities offered by digital and dual-use technology, he said that defense agencies should explore how to adapt and integrate commercial technology to meet defense and security needs.
This includes revisiting the design, development and procurement process for defense systems and platforms.
On asymmetric threats such as cyber attacks, Huang stressed the importance of multilateral cooperation among countries.
In response to cyberattacks involving transnational malicious organizations, countries must work together to coordinate policy responses, share information and conduct joint operations, he said.
Countries can also improve their collective resilience to cyberthreats through cooperation in capacity-building.
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International cooperation is crucial for addressing cyber threats, and countries must coordinate policy responses to cyberattacks, sharing information and building capacity to improve collective resilience.

The public should understand that AI has the potential to contribute significantly to sustainable development, but ethical considerations and fairness in AI development are essential, and transparency and accountability in AI decision-making are critical.

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Content: In recent years, the rapid development of artificial intelligence has become the focus of innovation and subversion in various industries.
One of the most groundbreaking AI developments is the emergence of generative models that have the potential to revolutionize the way we live, work and communicate.
This article delves into the fascinating journey of generative AI, tracing it from the critically acclaimed ChatGPT to the state-of-the-art Midjourney mode.
As we explore the incredible capabilities and wide-ranging implications of these AI systems, we will also discuss the challenges and ethical considerations of this powerful technology.
Join us as we explore the evolving landscape of generative AI and reveal its transformative potential for our future.
The dawn of generative artificial intelligence: the emergence of ChatGPT
ChatGPT, a language model developed by OpenAI, marks a pivotal moment in the world of generative artificial intelligence.
Built on the GPT-3 architecture, ChatGPT demonstrates a major leap forward in natural language understanding and generation, becoming a prime example of the capabilities of large-scale convertor models.
With 175 billion parameters, GPT-3 is already a powerful AI model, but ChatGPT, by fine-tuning the model specifically for conversational applications, pushes the boundaries further.
As a result, ChatGPT has shown unprecedented performance in generating human-like text, excelling at tasks such as translating, summarizing, and answering questions.
One of the most notable milestones is the release of the ChatGPT API in 2021, which provides developers with access to the model, leading to the creation of many AI-driven applications. ChatGPT ’ s success not only marks the arrival of a new era of generative AI, but also sets the stage for subsequent breakthroughs, such as the Midjourney model, which continues to push the limits of AI capabilities.
Setting the stage: The impact of ChatGPT on communication
The advent of ChatGPT has had a profound impact on the way we communicate, both professionally and personally. ChatGPT revolutionized a variety of industries and applications, from customer service to content creation, by being adept at understanding and generating human-like text.
For example, companies have adopted chatbots powered by ChatGPT to enhance the customer support experience, providing faster, more accurate, context-relevant 24-hour responses.
This has led to increased customer satisfaction and reduced workload for human support staff.
In addition, with the advent of ChatGPT, the creative world has also undergone major changes.
Content creators, journalists, and marketers can now use AI-powered writing assistants to help them generate ideas, write compelling content, and even improve their writing by offering suggestions and corrections.
This leads to increased efficiency and productivity while maintaining a high level of quality.
In personal communications, ChatGPT has enabled the development of AI-driven language learning tools, translation services, and even mental health support platforms to help remove language barriers and provide empathy support to those in need.
As ChatGPT continues to shape communication across domains, it lays the groundwork for more advanced generative AI models, such as Midjourney, that promise to further refine and expand the possibilities for human-AI collaboration.
Disrupting the industry: AI-driven content creation
The introduction of generative AI models such as ChatGPT has led to a paradigm shift in the content creation industry, ushering in a new era of AI-driven content generation.
These models demonstrate exceptional ability to understand context, style, and tone, making them valuable tools for a variety of content-related applications.
Marketing and advertising professionals are among the first to benefit from AI-driven content creation, using generative models to generate attractive copywriting, social media content, and even long blog posts.
This simplifies the workflow and allows marketers to craft tailored messages to target specific audiences more effectively.
As a result, businesses reported improved conversion rates, increased brand awareness, and increased customer engagement.
In the news and media industry, AI-driven content generation has been used to create automated news summaries, draft incident reports, and generate data-driven articles at an unprecedented rate.
This enables news organizations to provide timely and accurate information to their readers, while journalists can focus on more complex tasks such as investigative reporting and in-depth analysis.
The education sector is also witnessing a shift in AI-driven content creation as these models facilitate personalized learning experiences by generating customized learning materials, quizzes, and exercises tailored to individual learning styles and progress.
Moreover, AI-driven content creation has found its place in the entertainment industry, with generative models being used to draft scripts, create video game narratives, and even write poetry.
As generative AI continues to evolve, we can expect further disruption across industries, unlocking new creative possibilities and redefining the way we approach content creation.
The Evolution of Artificial Intelligence: From ChatGPT to Midjourney
ChatGPTMidjourney, The evolution of artificial intelligence shows the significant advances and ever-expanding potential of artificial intelligence.
With ChatGPT, natural language processing and understanding has revolutionized, paving the way for new AI models to explore different areas. Midjourney and Minecraft focus on generating images from text prompts, using this progress to transform the world of digital art and advertising.
The development of these two groundbreaking AI technologies highlights the versatility and capabilities of AI, and as progress continues, we can look forward to a more dynamic and integrated future where natural language processing and images converge to create innovative, powerful solutions in all areas.
Advances in technology: GPT-4 and beyond
As AI research evolves at an incredible pace, the development of generative models such as GPT-4 is expected to lead to more breakthroughs.
These next-generation models may leverage new technologies and architectures to address existing limitations and expand the scope of AI applications.
One of the main areas of concern for future models is to improve the efficiency and scalability of the training process, which will help reduce the computational resources and energy consumption required to develop large-scale AI systems.
Researchers are exploring techniques such as sparse attention, model compression, and distillation to create more compact and efficient models without compromising their performance.
Another key aspect of AI evolution is addressing issues related to fairness, accountability, and transparency.
Future models, such as GPT-4 and beyond, are expected to integrate advanced mechanisms to minimize bias, ensure ethical AI deployment, and provide more explainable insights into the decision-making process.
In addition, researchers are working to improve the multi-modal capabilities of AI models, enabling seamless integration and understanding of various data types such as text, images, audio, and video.
This will help develop more complex applications, from artificially-generated art and music to intelligent virtual assistants capable of understanding and responding to complex multi-modal inputs.
Finally, the future of generative AI will likely involve exploring human-AI collaborative systems, where AI models serve as valuable tools to augment human intelligence rather than replace it.
By developing AI systems that complement human skills and expertise, we can unlock the full potential of generative AI, drive innovation in countless areas and shape the future of technology.
Expand Capabilities: New Artificial Intelligence Applications
As generative AI models like GPT-4 continue to evolve, we can anticipate a range of new applications that push the boundaries of current AI capabilities.
These advances will open up new possibilities and promote innovation across industries.
Personalized medicine: AI-driven diagnostic and treatment recommendations will become increasingly precise, enabling personalized medicine that takes into account individual genetic, lifestyle, and environmental factors.
This will lead to more effective treatment plans and better patient outcomes.
• Smart cities: AI applications will play an important role in urban planning and management, optimizing energy consumption, traffic flow and waste management, and ultimately creating a more sustainable and efficient urban environment.
Scientific discovery: AI-driven large-scale data set analysis will accelerate discoveries in areas such as genomics, drug discovery, and materials science.
AI models will be able to identify patterns and generate hypotheses, facilitating a new era of data-driven scientific breakthroughs.
Creative Collaboration: Generative AI will be a valuable tool for artists, writers and musicians, enabling them to create novel and complex works by exploring and combining different ideas and styles, ultimately expanding the boundaries of human creativity.
• Emotional intelligence: Future AI models will better understand and respond to human emotions, paving the way for more compassionate and supportive virtual assistants, mental health support platforms, and personalized learning experiences.
Enhanced cybersecurity: AI-driven threat detection and response systems will become more sophisticated, enabling businesses and individuals to better protect their digital assets and maintain privacy in an increasingly interconnected world.
• Environmental protection: AI will play a key role in monitoring and protecting ecosystems, analyzing satellite imagery and sensor data to track deforestation, biodiversity loss, and climate change impacts, ultimately informing more effective conservation strategies.
These emerging AI applications will, among other things, reshape industries, improve the quality of our lives, and drive technological advances that will redefine the possibilities of the AI era.
Global Transformation: The Role of Artificial Intelligence in Society
As generative AI models such as GPT-4 continue to advance, their impact on society is becoming more profound, driving a global transformation that permeates all aspects of our lives.
This powerful technology has the potential to redefine the way we work, communicate, learn and interact with the world around us.
Evolution of the workforce: AI-driven automation will reshape the job market, streamline repetitive work and increase productivity across industries.
As a result, the workforce will shift to more creative, analytical and interpersonal roles that require constant learning and adaptation to remain competitive.
• Inclusive communication: Advanced AI-driven translation services will break down language barriers, foster cross-cultural collaboration, and foster a more connected global community.
This will open up new opportunities for international cooperation and exchange of ideas.
• Education revolution: AI-driven personalized learning experiences will democratize education, enabling learners across the globe to access high-quality resources and tailored instruction, regardless of socioeconomic status or location.
This will help close the education gap and promote lifelong learning.
Advances in healthcare: The role of AI in healthcare will continue to grow, from early diagnosis and precision medicine to virtual health assistants and telemedicine, improving access to care and improving overall health for millions of people around the world.
• Social impact: AI can be harnessed to address pressing global challenges such as climate change, poverty and inequality.
By harnessing AI-driven insights and predictive models, policymakers can make more informed decisions, develop more effective interventions, and ultimately create a more sustainable and equitable world.
Ethics and governance: As AI is increasingly integrated into society, it is critical to establish ethical guidelines, legal frameworks, and international standards to ensure responsible and transparent AI deployment, prevent unintended consequences, and promote equitable access to AI-driven benefits.
The ongoing global transformation, driven by AI technologies, presents both enormous opportunities and challenges.
As we navigate this uncharted territory, collaboration must be fostered between researchers, policymakers, industry leaders and the public to harness the potential of AI while minimizing its risks and ultimately shaping a future that benefits all of humanity.
The intersection of artificial intelligence and ethics
As AI technologies evolve and permeate every aspect of our lives, the intersection of AI and ethics becomes increasingly critical to ensure responsible and fair AI deployment.
This involves addressing several key ethical issues that arise in the development, implementation, and governance of AI systems.
• Bias and fairness: AI models may inadvertently propagate and amplify biases present in training data, leading to unfair outcomes and perpetuating existing inequalities.
Ensuring fairness in AI systems involves rigorous testing, strategies to reduce bias, and the use of diverse and representative datasets in model development.
Transparency and interpretability: Many AI systems, especially deep learning models, are often seen as “black boxes ” due to their complex internal workings.
Enhancing the transparency and interpretability of AI models is critical to building trust, promoting accountability, and making users aware of the decision-making process behind AI-generated outputs.
• Privacy and data security: AI systems often rely on large amounts of data, which raises concerns about privacy, data ownership, and security.
Building strong data protection measures, anonymization technologies, and an AI approach to protecting privacy are critical to protecting user privacy and maintaining public trust.
• Autonomy and human institutions: The growing reliance on AI-driven decision-making raises concerns about the possible erosion of human autonomy and agency.
It is necessary to strike the right balance between AI assistance and human control to ensure that AI systems augment human capabilities, not replace or destroy them.
Accountability and legal frameworks: Identifying responsibilities and obligations in situations where AI systems cause harm or make wrong decisions is a complex challenge.
Developing appropriate legal frameworks and governance structures is critical to addressing these issues and ensuring accountability in AI-driven outcomes.
• AI for Good: A fundamental ethical consideration is to ensure that AI technologies are developed and deployed for the benefit of all, rather than exacerbating existing inequalities or concentrating power in the hands of a few.
This includes promoting equitable access to AI-driven benefits and promoting AI-driven solutions to address pressing global challenges.
Addressing these ethical issues requires a multidisciplinary approach that includes collaboration between AI researchers, ethicists, policymakers, industry leaders, and the wider public.
By prioritizing ethical issues in the development and deployment of AI, we can harness the potential of this transformative technology while minimizing its risks and ultimately shaping a future that benefits all of humanity.
The Contribution of Artificial Intelligence to Sustainable Development
AI has the potential to contribute significantly to sustainable development by providing innovative solutions to complex global challenges.
By aligning AI advances with the United Nations Sustainable Development Goals (SDGs), we can use this transformative technology to create a more equitable and sustainable future for all.
No Poverty (SDG 1): AI can be used to identify areas of extreme poverty, optimize resource allocation, and improve the effectiveness of targeted interventions.
Machine learning models can also predict socioeconomic trends, enabling policymakers to develop smarter poverty reduction strategies.
Zero Hunger (SDG 2): AI-powered precision agriculture technologies can help optimize crop yields, reduce resource waste, and minimize the environmental impact of farming practices.
In addition, AI can be used to monitor and predict global food supply chains, ensuring more efficient distribution and reducing food waste.
Good Health and Well-Being (SDG 3): AI could revolutionize healthcare by enabling early diagnosis, personalized medicine, and more effective treatment plans.
In addition, AI-powered telemedicine and virtual health assistants can improve access to quality healthcare in remote or underserved areas.
Quality Education (SDG 4): AI-driven personalized learning platforms can democratize access to education, tailor teaching to individual learning styles and needs, and help close education gaps around the world.
• Gender Equality (SDG 5): AI can help identify and reduce biases in a variety of areas, including hiring, lending, and healthcare, ensuring more equitable outcomes for all genders.
In addition, AI-driven tools can be used to analyze and monitor gender disparities to inform policies aimed at promoting gender equality.
• Clean Water and Sanitation (SDG 6): AI can optimize water management and infrastructure planning to help ensure access to clean water and sanitation for all.
Machine learning models can also be used to monitor and predict water quality for timely interventions to prevent pollution.
• Affordable Clean Energy (SDG 7): AI can optimize energy consumption in buildings, transportation and industry, drive energy efficiency and reduce greenhouse gas emissions.
In addition, AI can support the integration of renewable energy into the grid and facilitate the transition to a more sustainable energy system.
• Climate Action (SDG 13): Artificial intelligence can be used to monitor and predict the impacts of climate change, make climate models more accurate, and inform mitigation and adaptation strategies.
In addition, AI-driven tools can help optimize carbon sequestration and emissions reduction initiatives.
These examples illustrate only a small part of the potential contribution of AI to sustainable development.
By prioritizing the development and deployment of AI solutions in line with the Sustainable Development Goals, we can unleash the transformative power of AI to address pressing global challenges and create a more sustainable and equitable future.
Midjourney: The Next Generation of Artificial Intelligence
Midjourney, an innovative artificial intelligence software developed by Midjourney Inc., an independent research lab based in San Francisco, is taking the AI world by storm.
This groundbreaking program is capable of generating images from natural language descriptions or “cues, ” similar to other AI tools such as OpenAI ’ s DALL-E and Stable Diffusion.
While Midjourney ’ s exact technical basis remains a topic of speculation, some experts believe it may be based on steady diffusion.
After entering the open beta phase on July 12, 2022, Midjourney, has proven itself to be a profitable business.
Led by David Holz, co-founder of Leap Motion, the Midjourney team offers its users a unique experience by leveraging Discord bot commands to create digital artwork.
Currently, the project can only be accessed through the official Discord server, which can send messages directly to the bot or invite it to a third-party server.
The user simply enters a prompt using the / imagine command, after which the robot generates a set of four images.
Users can then choose which images they want to zoom in on.
The company is also working on developing a web interface to improve accessibility.
Midjourney has three subscription levels that offer users a free trial to generate images.
Once users have completed about 25 tasks, they must subscribe to continue using the service.
David Holtz envisions artists as collaborators rather than competitors, and he says that many artists use Midjourney to quickly prototype art concepts for clients before starting their own work.
However, not everyone is excited about Midjourney ’ s impact on the art world.
Some artists argue that the platform degrades the value of original work by including it in training sets.
To address these issues, Midjourney ’ s terms of service include a DMCA removal policy that allows artists to request removal of their work from the training set if they believe it infringes their copyright.
The advertising industry has rapidly adopted AI tools such as Midjourney, DALL-E, and Stable Diffusion.
These platforms enable advertisers to effectively produce original content and brainstorm, creating countless new possibilities.
Industry experts, such as Advertising Age, predict that these AI tools could lead to personalized ads, innovative special effects, and increased efficiency in e-commerce advertising.
As Midjourney continues to make waves in AI, it ’ s clear that this next generation of AI tools has the potential to revolutionize digital art and advertising.
By providing a unique and effective way to generate images from natural language cues, Midjourney enables artists and advertisers alike to push the boundaries of creativity.
As AI technology continues to advance, it will be fascinating to see how Midjourney and similar platforms evolve to meet the changing needs of their users.
Looking forward to the future of human and artificial intelligence cooperation
As we look to the future of human-AI collaboration, we can foresee a world in which AI becomes an integral part of our daily lives, empowering humans, and transforming the way we work, learn, and communicate with each other.
This vision of the future depends on a harmonious partnership between humans and AI, in which each brings its unique strengths and expertise.
AI will increasingly automate routine and repetitive tasks in the workplace, enabling humans to focus on more creative, strategic, and complex problem-solving activities.
This shift will redefine job roles and lead to the emergence of new career paths that harness human ingenuity and compassion.
Collaboration between AI systems and human experts will drive innovation, increase productivity, and facilitate smarter decisions across industries.
There will also be a major shift in education, with personalized learning platforms driven by AI democratizing access to quality education and tailoring teaching to individual learning styles and needs.
Human teachers will continue to play a key role in guiding students, facilitating discussion, and fostering social and emotional development.
Synergies between AI and human educators will help bridge the education gap around the world and promote lifelong learning.
In healthcare, AI will assist healthcare professionals in diagnosing diseases, designing personalized treatment plans, and monitoring patient progress.
Collaboration between AI-driven tools and human expertise will improve the accuracy and efficiency of healthcare services, lead to better patient health outcomes, and reduce the burden on healthcare professionals.
The future of human-AI collaboration will also need to address ethical considerations and ensure responsible AI deployment.
A strong partnership between humans and AI systems will require AI technologies that are transparent, unbiased and protect privacy, respect human autonomy and promote trust.
Policymakers, researchers, and industry leaders will need to work together to establish ethical guidelines, legal frameworks, and international standards to navigate the challenges posed by the widespread integration of AI into society.
Ultimately, the future of human-AI collaboration envisions a world where AI enhances human capabilities, empowers individuals, and drives sustainable development.
By promoting a harmonious partnership between humans and AI, we can unlock the full potential of this transformative technology to shape a brighter future for all.
Preparing for a Generative World Driven by Artificial Intelligence
As generative AI models continue to advance and shape our world, individuals, organizations, and governments must adapt and be prepared to deal with the far-reaching impact of these technologies.
Here are some key steps to help navigate a generative AI-driven world:
Education and skills development: Continuous learning and improving skills are essential for individuals to remain relevant in the workforce.
Emphasis on digital knowledge, programming, data analysis, and other AI-related skills will be critical, along with honing creativity, critical thinking, and emotional intelligence, all of which are unique to humans and complement AI capabilities.
Industry Transformation: Businesses and organizations must keep up with AI developments and explore how generative AI models can be used to optimize their operations, drive innovation, and enhance decision-making.
This could involve investing in AI research and development, integrating AI-driven tools into existing workflows, and redefining work roles to support human-AI collaboration.
Regulatory framework and ethics: Governments and policymakers should strive to establish a comprehensive regulatory framework and ethical guidelines for the development and deployment of AI.
These guidelines should address issues such as bias, transparency, privacy and accountability to ensure responsible and fair AI integration into society.
• AI infrastructure and investments: Ensuring access to a robust AI infrastructure, including high-speed internet, computing resources, and advanced algorithms, is critical to the development and widespread adoption of generative AI models.
Governments and private sector entities should work together to invest in AI research, infrastructure and start-ups to promote a thriving AI ecosystem.
• Workforce Transition Support: As AI technologies lead to shifts in the job market, governments and organizations must support workforce transitions, including retraining programs, career counseling, and social safety nets to help individuals adapt to new job roles and opportunities in an AI-driven world.
• Public awareness and engagement: Raising public awareness of the potential benefits and risks of generative AI is essential to ensure informed decision-making and promote healthy public discussion about the role of AI in society.
Encouraging collaboration among AI researchers, ethicists, policymakers, and the wider public will promote a more inclusive and diverse view of the impact and potential applications of AI.
By taking these positive steps, individuals, organizations, and governments can effectively prepare for a world powered by AI, maximizing the benefits of this transformative technology while minimizing risks and ensuring a fairer and sustainable future for all.
The importance of AI literacy
In today ’ s rapidly evolving digital landscape, where artificial intelligence is increasingly present and influential in all aspects of our lives, AI knowledge has become increasingly important.
AI literacy refers to an understanding of AI concepts, principles, and applications, as well as the ability to engage critically and responsibly in AI technologies.
Developing AI literacy is critical for the following reasons:
• Informed decision making: AI knowledge enables individuals to make informed decisions when interacting with AI-driven tools and services.
A basic understanding of AI principles helps people assess the potential benefits, risks, and limitations of AI technologies, enabling them to make more informed choices in their personal and professional lives.
• Ethical considerations: AI knowledge promotes awareness of ethical issues surrounding AI, such as bias, privacy, transparency, and accountability.
By understanding these issues, individuals can engage in meaningful conversations about responsible AI development and deployment, helping to shape ethical guidelines and regulatory frameworks for managing AI technologies.
• Workforce readiness: As AI continues to transform industries and job roles, AI knowledge equips individuals with the necessary skills and knowledge to adapt to an AI-driven workforce.
Individuals can improve their employability and thrive in an increasingly automated job market by developing AI-related skills such as programming, data analytics, and machine learning.
• AI adoption and trust: AI knowledge contributes to the successful adoption of AI technologies across all sectors.
By understanding the capabilities and limitations of AI, individuals can better understand how AI complements and enhances human capabilities, promotes trust and drives the integration of AI solutions across different applications.
Empowerment and inclusion: AI knowledge helps ensure that more people have access to the benefits of AI.
By promoting AI education and awareness, we can engage individuals from diverse backgrounds in the development, deployment, and governance of AI technologies to promote a more inclusive and equitable AI-driven world.
Critical Thinking and Creativity: Developing AI knowledge encourages critical thinking and creativity as individuals learn to navigate the complex interactions between humans and AI systems.
This promotes a deeper understanding of how AI can be used to solve problems, drive innovation, and improve human capabilities.
In summary, AI knowledge is critical in today ’ s AI-driven world as it empowers individuals to make informed decisions, address ethical issues, adapt to a changing workforce, and contribute to the responsible development and deployment of AI technologies.
By investing in AI education and promoting broad AI knowledge, we can ensure a more inclusive, equitable and sustainable future driven by AI.
Strategies for realizing the full potential of artificial intelligence
Harnessing the full potential of AI requires individuals, organizations, and governments to take a proactive, collaborative approach in order to effectively maximize its positive impact.
To do this, it is critical to promote AI education and literacy among people of different ages and professional backgrounds.
This will enable informed decision-making, critical thinking and responsible participation in AI technologies.
Emphasizing the importance of cooperation between humans and AI systems will help maximize the benefits for both parties.
By combining the unique strengths of humans and AI, productivity, innovation and problem-solving can be significantly improved.
Establishing a comprehensive ethical framework and guidelines for the development and deployment of AI is critical to addressing issues such as bias, transparency, privacy, and accountability.
This will ensure responsible and fair AI integration into society.
Public-private sector partnerships could be promoted by promoting cooperation between Governments, private sector entities, academic institutions and non-governmental organizations.
This partnership will support AI research, development and adoption, drive innovation, create jobs, and foster a thriving AI ecosystem.
Investments in AI infrastructure, research, and start-ups are critical to providing robust AI resources such as high-speed internet, computing resources, and advanced algorithms.
This will support the development and widespread adoption of cutting-edge AI technologies.
Inclusion and diversity in AI research, development and governance should be promoted.
Encouraging the participation of individuals with diverse backgrounds, skills, and perspectives will ensure a more equitable distribution of AI-driven benefits and a better understanding of potential risks and challenges.
Focusing on sustainable development and harnessing the potential of AI to solve global challenges is key.
In areas such as healthcare, education, energy, agriculture and environmental management, AI-driven solutions can contribute to social, economic and environmental well-being.
Adjusting the legal and regulatory framework to take into account the unique challenges and opportunities presented by AI technologies is necessary.
In an AI-driven environment, it is critical to implement policies that protect individual rights, ensure safety and security, and promote fair competition.
Finally, international cooperation in AI research, development and policy development should be encouraged.
Sharing knowledge, resources and best practices across borders will help address global challenges and harness the collective potential of AI technologies.
By adopting these strategies, stakeholders can effectively harness the full potential of AI, drive innovation, improve human capabilities, and promote sustainable development.
Through a proactive and collaborative approach, we can shape a future in which AI technologies are responsibly developed and deployed for the benefit of all.

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

Establishing a comprehensive regulatory framework for AI is necessary, and investing in AI infrastructure and research is vital for its development, with public awareness and education on AI necessary for responsible adoption.

UNESCO has proposed steps for countries to regulate AI in education, including adopting international data protection regulations, reviewing and funding national strategies on AI, and establishing specific AI ethics regulations.

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Content: REUTERS
7 Steps Countries Should Follow to Regulate Artificial Intelligence in Education
A recent UNESCO global survey of more than 450 schools and universities found that less than 10% have official policies or guidelines on the use of AI applications, largely due to the absence of national regulations.
Only seven countries reported that they have developed or are developing training programs for teachers in artificial intelligence.
Based on the results of the study, the international organization proposed seven key steps that countries can follow to help regulate the use of artificial intelligence in education:
Adopt international or regional general data protection regulations or develop national regulations.
Second, review and fund national strategies on artificial intelligence.
Third, establish and implement specific regulations on the ethics of artificial intelligence.
Adjust or enforce existing copyright laws to regulate AI-generated content.
Fifth: Develop regulatory frameworks on artificial intelligence.
Sixth: Capacity building for the proper use of artificial intelligence in education and research.
Think about the long-term effects of AI on education and research: its impact and effects on the creation, transmission and validation of knowledge, for teaching and learning, curriculum design and evaluation, research and copyright.
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Geoffrey Hinton's warnings about the dangers of unmanaged AI have highlighted the need for careful regulation and management of AI development, with experts responding to his concerns by emphasizing the importance of international cooperation and effective regulations.

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?

Becomes uncontrollable
Poses ethical risks

The role of international organizations in establishing effective regulations and safeguards for AI development is crucial, as they can coordinate efforts, address scientific issues, and provide a framework for global governance.

Governments and industries should collaborate to establish regulations that prioritize transparency, accountability, and human rights, ensuring that AI development is guided by ethical considerations and fairness.

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