PIONEERS IN ARTIFICIAL INTELLIGENCE WIN THE NOBEL PRIZE IN PHYSICS

Two pioneers of artificial intelligence — John Hopfield and Geoffrey Hinton — won the Nobel Prize in physics this week for helping create the building blocks of machine learning that is revolutionizing the way we work and live but also creates new threats for humanity.

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Hinton, who is known as the godfather of artificial intelligence, is a citizen of Canada and Britain who works at the University of Toronto, and Hopfield is an American working at Princeton.

“These two gentlemen were really the pioneers,” said Nobel physics committee member Mark Pearce.

The artificial neural networks — interconnected computer nodes inspired by neurons in the human brain — the researchers pioneered are used throughout science and medicine and “have also become part of our daily lives,” said Ellen Moons of the Nobel committee at the Royal Swedish Academy of Sciences.

Hopfield, whose 1982 work laid the groundwork for Hinton’s, told, “I continue to be amazed by the impact it has had.”

Hinton predicted that AI will end up having a “huge influence” on civilization, bringing improvements in productivity and health care.

“It would be comparable with the Industrial Revolution,” he said in an open call with reporters and officials of the Royal Swedish Academy of Sciences.

“Instead of exceeding people in physical strength, it’s going to exceed people in intellectual ability. We have no experience of what it’s like to have things smarter than us. And it’s going to be wonderful in many respects,” Hinton said.

“But we also have to worry about a number of possible bad consequences, particularly the threat of these things getting out of control.”

WARNING OF AI RISKS

The Nobel committee also mentioned fears about the possible flipside.