We live in an incredible period in history. The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are useless in judging whether the unearthed patterns are sensible because computers do not think the way humans think. We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.
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Gary Smith argues that the real danger of artificial intelligence is not that computers are smarter than us, but that we think they are. Through many examples, Smith shows that human reasoning is fundamentally different from artificial intelligence, and it is needed more than ever.
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1: Intelligent or Obedient? 2: Doing Without Thinking 3: Symbols Without Context 4: Bad Data 5: Patterns in Randomness 6: If You Torture the Data Long Enough 7: The Kitchen Sink 8: Old Wine in New Bottles 9: Take Two Aspirin 10: Beat the Market I 11: Beat the Market II 12: We're Watching You
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AI is eating the world! Or is it? Read the AI Delusion to find out. Gary Smith provides us with a rich tapestry of stories, studies, and science to elucidate this topic in a fun and accessible fashion. Learning about AI, data, and science has never been more enjoyable!
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Encourages scepticism about artificial intelligence and the trust we put in itExtols the value of human judgement in a world where big decisions are more and more frequently left to computersFull of compelling stories of AI gone awry, from US elections to Jeopardy, board games to medicine, and face-recognition to karaoke.Suitable for the general reader as well as specialists
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Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written (or co-authored) more than eighty academic papers and twelve books including Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, What the Luck? The Surprising Role of Chance in Our Everyday Lives, and Money Machine: The Surprisingly Simple Power of Value Investing. His research has been featured by Bloomberg Radio Network, CNBC, The Brian Lehrer Show, Forbes, The New York Times, Wall Street Journal, Motley Fool, Newsweek, and BusinessWeek.
Les mer
Encourages scepticism about artificial intelligence and the trust we put in itExtols the value of human judgement in a world where big decisions are more and more frequently left to computersFull of compelling stories of AI gone awry, from US elections to Jeopardy, board games to medicine, and face-recognition to karaoke.Suitable for the general reader as well as specialists
Les mer

Produktdetaljer

ISBN
9780198824305
Publisert
2018
Utgiver
Vendor
Oxford University Press
Vekt
406 gr
Høyde
202 mm
Bredde
137 mm
Dybde
19 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
256

Forfatter

Om bidragsyterne

Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written (or co-authored) more than eighty academic papers and twelve books including Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, What the Luck? The Surprising Role of Chance in Our Everyday Lives, and Money Machine: The Surprisingly Simple Power of Value Investing. His research has been featured by Bloomberg Radio Network, CNBC, The Brian Lehrer Show, Forbes, The New York Times, Wall Street Journal, Motley Fool, Newsweek, and BusinessWeek.