RE: WIRED 2021: Kai-Fu Lee and Yoky Matsuoka Consider AI’s Potential for Good
In our mind on artificial intelligence, many of us have jumped on visions of the future from science fiction-hellscapes like The Matrix, Black Mirror, and The Terminator. But that is not what will happen. Two leading technology experts think there is more reason to be optimistic than pessimism, even when there are explosive speeds along the way.
Kai-Fu Lee is the former head of Microsoft Research in Asia, and Google in China. He is currently the chairman and CEO of Sinovation Ventures, a venture capital firm with nearly $ 3 billion in assets; nearly 70 percent of its investments are AI -related. Lee is also the author of the 2018 book AI Super-Powers and the 2021 book AI 2041: Ten Visions for Our Future, who is his co -author with science fiction writer Stanley Chan (Chen Qiufan).
Yoky Matsuoka is a cofounder at Google X, former CTO of Google Nest, and former executive at Apple, Twitter, and elsewhere. He is now the founder and CEO of Yohana, an AI -enhanced personal assistant service that he describes as a wellness company aimed at families to help prioritize well -being and presence. Lee and Matsuoka spoke with WIRED global editorial director Gideon Lichfield at RE: WIRED CONFERENCE.
Lee thinks AI can be a huge help in health care, even if he also sees potential stumbling blocks. Imagine an AI program that helps 5 percent of patients, but hurts 3 percent. AI practitioners are likely to see that as a good thing, because it helps more people than it hurts. But doctors view it differently, as 3 percent of people may not be mistaken in diagnosing human doctors. Therefore, the two worlds must learn to work together. He didn’t see it as a difficulty, necessarily, but a point of contention that needed to be overcome.
People think of AI as a black box, according to Lee, where the computer makes a decision based on thousands of calculations and we don’t know what they are or why it came to these conclusions. of it. It’s really hard for us to trust that. Lee favors making AI that can explain, in human terms, perhaps the top three calculations it performs. “As a society I think we need to get away from,‘ Explain completely the complicated black box otherwise we won’t use you! ’” Lee thought. Instead, he suggests asking AI to “explain yourself rationally and understandably to a level and degree no worse than someone making an explanation of how he or she made a decision. If let’s change that benchmark, I think it can be done. ”
Matsuoka sees huge potential for AI in care, too. He quoted his parents, who were elderly and in poor health. As an only child, she wanted to help care for them, but also respect their privacy and freedom. She said she and her parents want electronic devices to make sure they’re OK every day. If they don’t, with their permission, she can receive some data to make sure she’s alerted if they fall, and can call for a caregiver. He said he wanted to build a world where sensors and humans could work together to predict and prevent bad things from happening. For example, sensors may indicate that one of her parents is behaving differently, or that something in the house is broken and may be in danger of falling.