| Edition |
First edition. |
| Description |
1 online resource (v, 249 pages) : illustrations (some color) |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Contents |
Cover; The Al Delusion; Copyright; Contents; Introduction; Chapter 1. Intelligent or obedient?; Board games; Tic-tac-toe; Checkers; Chapter 2. Doing without thinking; The fuel and fire of thinking; Superhuman; Singularity; Time; Emotions; Critical thinking; The Turing test; Chinese room thought experiment; Chapter 3. Symbols without context; Translation software; The Winograd Schema Challenge; Can computers read?; Can computers write?; InspiroBot; Seeing things in context; Tanks, trees, and clouds; The cat and the vase; Chapter 4. Bad data; Self-selection bias; Correlation is not causation. |
|
The power of timeSurvivor bias; Fake data; Recognizing bad data; Chapter 5. Patterns in randomness; Data mining; Knowledge discovery; Black boxes; Big data, big computers, big trouble; A conflict of interest; Hard-wired to be deceived; Seduced by patterns; An example of random noise; Amateur weather forecasting; The Smith test; Chapter 6. If you torture the data long enough; Mendel; The Texas sharpshooter fallacy; Data mining; QuickStop; Torturing data; Retroactive recall; Money priming; Seek and you will find; The Laugher Curve; It's not you, it's me; Great to good. |
|
Aggressiveness and attractivenessThe Dartmouth salmon study; Quack, quack; Chapter 7. The kitchen sink; Predicting presidential elections; The secret sauce; Nonlinear models; Chapter 8. Old wine in new bottles; Stepwise regression; Ridge regression; Data reduction; Neural network algorithms; Blinded by math; Chapter 9. Take two aspirin; Call me in the morning; I'll have another cup; Distant healing; Cancer clusters; Most proven treatments don't work; Data mining; Too much chaff, not enough wheat; Chapter 10. Beat the market I; Noise; Wacky theories; Technical analysis. |
|
An inverted head and shouldersFlipping coins; Wall Street Week's ten technical indicators; Market breadth; Low-price activity ratio; Advisory service sentiment; Tweet, tweet; Technical gurus; The Foolish Four; Black box investing for fun and profit; Chapter 11. Beat the market II; The stock market and the weather; Try, try again; The set-aside solution; Real data mining; Convergence trades; Royal Dutch/Shell; The GSR; Another convergence trade; High-frequency trading; The flash crash; The bottom line; Chapter 12. We're watching you; A pregnancy predictor; Google Flu; Robo-Tester. |
|
Job applicationsJob advertisements; Loan applications; Car insurance; Social credit scores; Black-box discrimination; Unreasonable searches; Watch your wristbands; Do you need plastic surgery?; Gaming the system; MAD; Conclusion; Bibliography; Index. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Computers -- Social aspects.
|
|
Computers -- Social aspects. |
|
Data mining.
|
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Data mining. |
|
Artificial intelligence.
|
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Artificial intelligence. |
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Big data.
|
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artificial intelligence. |
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Big data. |
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SOCIAL SCIENCE -- General. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Smith, Gary. AI delusion. First edition. Oxford : Oxford University Press, 2018 0198824300 9780198824305 (OCoLC)1022684414 |
| ISBN |
9780192557797 (electronic book) |
|
0192557793 (electronic book) |
|
9780198824305 |
|
0198824300 |
|
