Awkward intelligence : where AI goes wrong, why it matters, and what we can do about it / Katharina A. Zweig ; translated by Noah Harley.

Format:

Book

Author/Creator:

Zweig, Katharina A., author.

Contributor:

Harley, Noah, translator.

Language:

English

Subjects (All):

Artificial intelligence.

Artificial intelligence--Philosophy.

Physical Description:

1 online resource : illustrations

Edition:

1st ed.

Place of Publication:

Cambridge, Massachusetts : The MIT Press, [2022]

Summary:

"If you want to know what artificial intelligence can do and what it cannot do, in this book you will find all the information that you need in an entertaining fashion. The book covers mysterious terms like algorithm and machine learning, in an approachable manner. It enables you to join the discussions on good and bad AI: Do we want machines to judge your face? Is image recognition by the computer really better than by humans? And why should you learn about the misfortune of a self-driving robo vacuum cleaner? Read the book and find out"-- Provided by publisher.

Contents:

Intro

Cover

Title Page

Copyright Page

Dedication

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.

Notes:

Includes bibliographical references and index.

OCLC-licensed vendor bibliographic record.

ISBN:

0-262-37185-5

0-262-37186-3

OCLC:

1333708112