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The Atlas of AI

Gebonden Engels 2021 1e druk 9780300209570
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Samenvatting

The hidden costs of artificial intelligence, from natural resources and labor to privacy, equality, and freedom"Eloquent, clear and profound-this volume is a classic for our times. It draws our attention away from the bright shiny objects of the new colonialism through elucidating the social, material and political dimensions of Artificial Intelligence."-Geoffrey C. Bowker, University of California, Irvine What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression.

This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. Rather than taking a narrow focus on code and algorithms, Crawford offers us a material and political perspective on what it takes to make AI and how it centralizes power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Specificaties

ISBN13:9780300209570
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:336
Druk:1
Verschijningsdatum:4-5-2021
Hoofdrubriek:IT-management / ICT
ISSN:

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recensie
The Atlas of AI - 'Helpt om de juiste vragen te stellen'
Freija van Duijne | 29 oktober 2021
Robots, slimme systemen en kunstmatige intelligentie brengen ons in een heel nieuw tijdperk van technologische expansie. Maar onder de motorkap en achter de deuren van kunstmatige intelligentie speelt veel meer, lezen we in The Atlas of AI van Kate Crawford.
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Over Kate Crawford

Kate Crawford is a visiting distinguished professor at UC Berkeley, a senior principal researcher at Microsoft Research, and the inaugural chair of AI and Justice at the École Normale Supérieure. She co-founded the AI Now Institute at New York University, and leads the Foundations of Machine Learning international working group.

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Inhoudsopgave

Introduction 1

1. Earth 23
2. Labor 53
3. Data 89
4. Classification 123
5. Affect 151
6. State 181

Conclusion. Power 211
Coda. Space 229
Acknowledgments 239
Notes 245
Bibliography 269
Index 315

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