ISBN-10:
0316525227
ISBN-13:
9780316525220
Pub. Date:
Publisher:
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

by Janelle Shane

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Overview

“A deft, informative, and often screamingly funny primer on the ways that machine learning can (and often does) go wrong.” —Margaret Harris, Physics World

“You look like a thing and I love you” is one of the best pickup lines ever…according to an artificial intelligence trained by the scientist Janelle Shane, creator of the popular blog AI Weirdness. Shane creates silly AIs that learn how to name colors of paint, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our human lives.

We rely on AI every day, trusting it for matters both big and small, from unlocking our phones to hospital care. But how smart is AI really…? Shane delivers the answer to every AI question you’ve ever asked, and some you definitely haven’t—such as: How can a computer design the perfect sandwich? What does robot-generated Harry Potter fan fiction sound like? And is the world’s best Halloween costume really “vampire hog bride”?

In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these machines learn, fail, and adapt—and how they reflect both the best and worst of humanity.

"I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." —Adam Grant, New York Times bestselling author of Originals


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Product Details

ISBN-13: 9780316525220
Publisher: Little, Brown and Company
Publication date: 03/23/2021
Pages: 272
Sales rank: 111,428
Product dimensions: 5.40(w) x 8.10(h) x 0.90(d)

About the Author

Janelle Shane has a PhD in electrical engineering and a master's in physics. At aiweirdness.com, she writes about artificial intelligence and the amusing and sometimes unsettling ways that algorithms get human things wrong. She has been featured on the main TED stage; in the New York Times, The Atlantic, Wired, Popular Science, and more; and on NPR's All Things Considered, Science Friday, and Marketplace. She was named one of Fast Company’s 100 Most Creative People in Business, and an Adweek Young Influential. She is almost certainly not a robot.

Table of Contents

Introduction: AI is everywhere 1

Chapter 1 What is AI? 7

Chapter 2 AI is everywhere, but where is it exactly? 29

Chapter 3 How does it actually learn? 61

Chapter 4 It's trying! 109

Chapter 5 What are you really asking for? 140

Chapter 6 Hacking the Matrix, or AI finds a way 161

Chapter 7 Unfortunate shortcuts 168

Chapter 8 Is an AI brain like a human brain? 185

Chapter 9 Human bots (where can you not expect to see AI?) 209

Chapter 10 A human-AI partnership 219

Conclusion: Life among our artificial friends 234

Acknowledgments 237

Notes 239

Index 253

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