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What Went Wrong With AI?
David Eagleman is a neuroscientist and a New York Times bestselling author. He directs the Laboratory for Perception and Action at the Baylor College of Medicine, where he also directs the Initiative on Neuroscience and Law. He is best known for his work on time perception, brain plasticity, synesthesia, and neurolaw.
Beyond his 100+ academic publications, he has published many popular books. His bestselling book Incognito: The Secret Lives of the Brain, explores the neuroscience "under the hood" of the conscious mind: all the aspects of neural function to which we have no awareness or access. His work of fiction, SUM, is an international bestseller published in 28 languages and turned into two operas. Why the Net Matters examines what the advent of the internet means on the timescale of civilizations. The award-winning Wednesday is Indigo Blue explores the neurological condition of synesthesia, in which the senses are blended.
Eagleman is a TED speaker, a Guggenheim Fellow, a winner of the McGovern Award for Excellence in Biomedical Communication, a Next Generation Texas Fellow, Vice-Chair on the World Economic Forum's Global Agenda Council on Neuroscience & Behaviour, a research fellow in the Institute for Ethics and Emerging Technologies, Chief Scientific Advisor for the Mind Science Foundation, and a board member of The Long Now Foundation. He has served as an academic editor for several scientific journals. He was named Science Educator of the Year by the Society for Neuroscience, and was featured as one of the Brightest Idea Guys by Italy's Style magazine. He is founder of the company BrainCheck and the cofounder of the company NeoSensory. He was the scientific advisor for the television drama Perception, and has been profiled on the Colbert Report, NOVA Science Now, the New Yorker, CNN's Next List, and many other venues. He appears regularly on radio and television to discuss literature and science.
David Eagleman: When I was a child growing up, I expected that we would have robots by this point, C-3P0, and we still don't. In fact, the smartest thing that we have is the Roomba vacuum cleaner, so that means that something went terribly wrong with AI. And it forces us to ask what went wrong because, essentially, we’ve been throwing the smartest people on the planet at that problem since the ‘60s and it’s been a failed problem. The answer, I think, clearly, is that we have to listen to what Mother Nature is doing. So since the ‘60s, people have thought, okay, look, there's all this wet biological gushy stuff, let’s put that aside and just figure out what would intelligence take, how could we just do this from scratch, and that hasn't gotten us anywhere. The game now is shifting to saying, "All right, how is Mother Nature accomplishing it?"
We've been throwing the smartest people on the planet at the problem of artificial intelligence since the 1960s, and all we have to show for it is the Roomba vacuum cleaner.
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