Schmidt: US Must Win AI Race Against China, But Control is Key

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Schmidt: US Must Win AI Race Against China, But Control is Key
ARTIFICIAL INTELLIGENCECHINACOMPETITION
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Former Google CEO Eric Schmidt warns that while the US must lead in the AI race against China, the rapidly advancing technology needs to be carefully controlled.

Former Google CEO Eric Schmidt stated that the U.S. must prevail in the ongoing artificial intelligence (AI) race against China. However, he cautioned that the rapidly advancing technology necessitates control. During an interview on ABC News' 'This Week' with George Stephanopoulos on Sunday, Schmidt remarked, 'We're soon going to be able to have computers running on their own, deciding what they want to do.' He continued, 'And the way that happens is it's a series of decisions.

We go from agents to then… more powerful goals, and eventually you say to the computer, ‘learn everything and do everything.’ And that's a dangerous point. When the system can self-improve, we need to seriously think about unplugging it.' When Stephanopoulos suggested that an AI system with such capabilities might resist attempts to 'unplug it,' Schmidt responded, 'Well, in theory, we better have somebody with the hand on the plug – and metaphorically.' Schmidt emphasized the government's role in establishing guidelines for AI development. He anticipates the incoming Trump administration will prioritize U.S. competitiveness against China, which he views favorably. Regarding potential AI safeguards, he stated, 'As long as human values – and by that I mean democratic liberal values in the classic sense of individual freedom and respect for an individual are preserved – we should be okay.' Schmidt explained that while the U.S. was previously considered a few years ahead of China in the AI race, China has rapidly closed the gap over the past six months. 'There's a point at which, maybe in the next year or two, where the systems can begin to do their own research,' Schmidt said. 'They're called AI scientists, as opposed to human scientists. So you go from having 1000 human scientists to a million AI scientists.

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