Cover image for The AI delusion / Gary Smith.
Title:
The AI delusion / Gary Smith.
Title Variants:
Artificial Intelligence delusion
ISBN:
9780198824305
Edition:
First edition.
Publication Information:
Oxford : Oxford University Press, 2018.

©2018
Physical Description:
v, 249 pages : illustrations (some color) ; 21 cm
Contents:
Chapter 1. Intelligent or obedient?; Chapter 2. Doing without thinking; Chapter 3. Symbols without context; Chapter 4. Bad data; Chapter 5. Patterns in randomness; Chapter 6. If you torture the data long enough; Chapter 7. The kitchen sink; Chapter 8. Old wine in new bottles; Chapter 9. Take two aspirin; Chapter 10. Beat the market I; Chapter 11. Beat the market II; Chapter 12. We're watching you; Conclusion; Bibliography; Index.
Abstract:
"The AI delusion demonstrates why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, or that black boxes should be trusted"--Back dust jacket.
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Summary

Summary

Gary Smith argues that we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, that black boxes should be trusted. Let's trust ourselves to judge whether statistical patterns make sense and are therefore potentially useful, or are merely coincidental and therefore fleeting and useless. Human reasoning is fundamentally different from artificial intelligence, which is why it is needed more than ever.


Author Notes

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.


Table of Contents

Introductionp. 1
1 Intelligent or obedient?p. 7
2 Doing without thinkingp. 21
3 Symbols without contextp. 41
4 Bad datap. 57
5 Patterns in randomnessp. 73
6 If you torture the data long enoughp. 93
7 The kitchen sinkp. 119
8 Old wine in new bottlesp. 137
9 Take two aspirinp. 149
10 Beat the market Ip. 163
11 Beat the market IIp. 183
12 We're watching youp. 207
Conclusionp. 235
Bibliographyp. 239
Indexp. 247