Table of Contents

Preface ix
PART I The Toolkit 1
1 Robo-Judges...with Poor Judgment 3
2 The Fact Factories of the Natural Sciences 13
PART II The ABCs of Computer Science 25
3 Algorithms: Instructions for Computers 27
4 Big Data and Data Mining 55
5 Computer Intelligence 89
6 Machine Learning Versus People 135
7 Are We Literate Yet? 151
PART III The Path to Better Decisions, With and Without Machines 153
8 Algorithms, Discrimination and Ideology 155
9 How to Stay in Control 177
10 Who Wants Machines Making Decisions About People, Anyway? 193
11 It's Time for "The Talk" about Strong AI 205
Postscript 217
Glossary 223
Notes 229
Index 249

About the Author

Katharina A. Zweig is Professor of Computer Science at the TU Kaiserslautern in Kaiserslautern, Germany.