The AI delusion
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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | E-Book Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Oxford University Press
2018
Oxford University Press, Incorporated |
| Ausgabe: | 1 |
| Schlagworte: | |
| ISBN: | 9780198824305, 0198824300 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Inhaltsangabe:
- Wacky theories -- Technical analysis -- An inverted head and shoulders -- Flipping 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 applications -- Job 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
- Cover -- The AI 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 time -- Survivor 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 datalong 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 attractiveness -- The 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