A Citizen's Guide to Artificial Intelligence

ARTIFICIAL INTELLIGENCE FOR BEGINNERS: Get a concise, informative overview of AI ethics and policy—and how it could impact our society.

Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies?

This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI’s latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Table of Contents
Preface vii
Acknowledgements ix
Prologue: What's all the fuss about? xi
1. What is artificial intelligence? 1
2. Transparency 21
3. Bias 43
4. Responsibility and Liability 61
5. Control 79
6. Privacy 93
7. Autonomy 107
8. Algorithms in Government 127
9. Employment 149
10. Oversight and Regulation 159
Epilogue 175
About the Authors 179
Notes 181
Index 207
John Zerilli is a Research Fellow at the Leverhulme Centre for the Future of Intelligence in the University of Cambridge and from 2021 will be a Leverhulme Trust Fellow at the University of Oxford.

About

ARTIFICIAL INTELLIGENCE FOR BEGINNERS: Get a concise, informative overview of AI ethics and policy—and how it could impact our society.

Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies?

This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI’s latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

Table of Contents

Table of Contents
Preface vii
Acknowledgements ix
Prologue: What's all the fuss about? xi
1. What is artificial intelligence? 1
2. Transparency 21
3. Bias 43
4. Responsibility and Liability 61
5. Control 79
6. Privacy 93
7. Autonomy 107
8. Algorithms in Government 127
9. Employment 149
10. Oversight and Regulation 159
Epilogue 175
About the Authors 179
Notes 181
Index 207

Author

John Zerilli is a Research Fellow at the Leverhulme Centre for the Future of Intelligence in the University of Cambridge and from 2021 will be a Leverhulme Trust Fellow at the University of Oxford.