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Included in Forbes's "6 Best Books On Artificial Intelligence" list
"Illustrated with examples from Broussard's own work and experience, this is an intensely personal journey that gives a real sense of travelling with a friend. Her descriptions of hackathons and other aspects of start-up culture are honest and atmospheric, capturing the social as well as the technical aspects of the marketplace in a way that anchors moments of technical innovation in their time and place. Hopefully, this book will gather a wide general, as well as academic, audience. It deserves to become a classic £¿ but, even more, it deserves to be read and debated."
¡ªTimes Higher Education
"Her book serves as a straightforward and necessary primer on the predictable ways¡ªhistorically speaking¡ªthat AI and big data tend to let us down¡¦ Broussard lays out clearly and firmly just how duped we've been by the unique brand of technological boosterism that develops when technologists, and even whole fields of technology, have little to no social accountability."
¡ªAmerican Scientist
"This is, quite simply, the best book I've read about computers and the problems of 'technochauvism'. Everyone should read it and it should be force-fed to every programmer in the world, as a reminder that machines are not always the answer to human problems."
¡ªInformation Research
"This book is appropriate for the general public, computer science students, librarians, information professionals, and policymakers concerned with the increased presence of Artificial Intelligence in everyday life. Anyone intrigued with ethical implications of Artificial Intelligence or Machine Learning will find this book informative and useful."
¡ªJournal of Intellectual Freedom and Privacy
"This book deserves praise as a timely, accessible and often entertaining account that sets the record straight on what current approaches to AI are and are not capable of delivering."
¡ªLSE Review of Books
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Chapter Page
I How Computers Work 1
1. Hello, Reader 3
2. Hello, World 13
3. Hello, Al 31
4. Hello, Data Journalism 41
II When Computers Don't Work 49
5. Why Poor Schools Can't Win at Standardized Tests 51
6. People Problems 67
7. Machine Learning: The DL on ML 87
8. This Car Won't Drive Itself 121
9. Popular Doesn't Mean Good 149
III Working Together 161
10. On the Startup Bus 163
11. Third-wave Al 175
12. Aging Computers 193
Acknowledgments 201
Notes 203
Bibliography 211
Index 227
Ã¥¼Ò°³
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.
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