Geoffrey Hinton's Concerns on Artificial Intelligence

Category Artificial Intelligence

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Geoffrey Hinton, a renowned AI researcher and one of the founders of deep learning, recently announced his stepping down from Google to speak more openly on the potential harms of artificial intelligence. At recent event in EmTech Digital, he warned that AI could replace mankind and suggested that creating AI with moral lessons may be necessary. His warnings serve as a reminder for us to remain vigilant about the responsible development of AI.

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Deep learning pioneer Geoffrey Hinton announced on Monday that he was stepping down from his role as a Google AI researcher after a decade with the company. He says he wants to speak freely as he grows increasingly worried about the potential harms of artificial intelligence. Prior to the announcement, Will Douglas Heaven, MIT Technology Review’s senior editor for AI, interviewed Hinton about his concerns—read the full story here.

Geoffrey Hinton first proposed to use Neural Networks as an AI technique in 1986.

Soon after, the two spoke at EmTech Digital, MIT Technology Review’s signature AI event. "I think it’s quite conceivable that humanity is just a passing phase in the evolution of intelligence," Hinton said. You can watch their full conversation below.

Geoffrey Hinton is one of the most renowned AI researchers today and is credited as one of the founders of the subfield of deep learning. He has recently stepped down from Google to speak out more openly about the potential harms of artificial intelligence. Prior to the announcement, Hinton was interviewed by the MIT Technology Review's editor for AI, where he expressed concerns about Artificial Intelligence and its potential for negative impacts. He has described AI as a potential threat to mankind, and has expressed further worries about the uncontrolled development of AI. In response to Hinton's claims, some experts have expressed worries about the potential of AI to cause major harm if it is not managed properly.

Hinton and his student David Rumelhart created the concept of backpropagation as a training technique for Artificial Neural Networks in 1986.

At a recent event at EmTech Digital, which was hosted by the MIT Technology Review, Hinton shared his worries with the audience. He suggested that AI could replace humans, and warned that AI may be able to progress to the point of outsmarting us. He also expressed concerns that creating AI with moral lessons may be necessary in order to govern its development. Hinton's warnings were met with some trepidation by some in the audience, and served as a reminder for us all to remain vigilant about the development of AI.

He and his lab were the main force behind the development of the deep learning technique known as Deep Belief Networks.

Hinton's views are a reminder that AI must be monitored and managed carefully in order to ensure its responsible development. AI has the potential to revolutionize many aspects of our lives, but as Hinton has warned, it also carries a risk of unforeseen consequences if it is not controlled properly. As AI technologies progress, it is important that we remain mindful of the potential harms of its development, and that we continue to strive for responsible use and management of Artificial Intelligence technologies.

He was awarded the Association for Computing Machinery's A.M. Turing Award in 2019.

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