How to Stay Smart in a Smart World Why Human Intelligence Still Beats Algorithms

by Gigerenzer, Gerd

• ISBN13: 9780262046954
• ISBN10: 0262046954
• eBook ISBN(s): 9780262370042
• Format: Hardcover
• Copyright: 2022-08-02
• Publisher: The MIT Press
• More Book Details
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Summary

How to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.”

Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all seem to agree: machines will soon do everything better than humans. In How to Stay Smart in a Smart World, Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms.

Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent “black box” algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror, considers the privacy paradox (people want privacy but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the “like” button. We shouldn’t trust smart technology unconditionally, Gigerenzer tells us, but we shouldn’t fear it unthinkingly, either.

Author Biography

Gerd Gigerenzer is Director Emeritus at the Max Planck Institute for Human Development and the author of Calculated Risks, Gut Feelings, and Risk Savvy and the coeditor of Better Doctors, Better Patients, Better Decisions and Classification in the Wild (both published by the MIT Press). He has trained judges, physicians, and managers in decision making and understanding risks and uncertainties. 
 

Table of Contents

Introduction ix
Part I: The Human Affair with AI
1 Is True Love Just a Click Away? 3
2 What AI Is Best At: The Stable-World Principle 21
3 Machines Influence How We Think about Intelligence 41
4 Are Self-Driving Cars Just Down the Road? 49
5 Common Sense and AI 73
6 One Data Point Can Beat Big Data 93
Part II: High Stakes
7 Transparency 113
8 Sleepwalking into Surveillance 139
9 The Psychology of Getting Users Hooked 173
10 Safety and Self-Control 187
11 Fact or Fake? 199
Acknowledgments 227
Notes 229
Bibliography 255
Index 285