Atlas of AI : power, politics, and the planetary costs of artificial intelligence / Kate Crawford.
2021
Q335 .C73 2021
Available at 2nd (Main) Floor
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Details
Title
Atlas of AI : power, politics, and the planetary costs of artificial intelligence / Kate Crawford.
ISBN
9780300209570 (hardcover)
0300209576 (hardcover)
9780300252392 (electronic book)
0300252390 (electronic book)
0300209576 (hardcover)
9780300252392 (electronic book)
0300252390 (electronic book)
Published
New Haven : Yale University Press, [2021]
Copyright
©2021
Language
English
Description
327 pages : illustrations ; 23 cm
Call Number
Q335 .C73 2021
System Control No.
(OCoLC)1111967630
Summary
"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."-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references (pages 269-313) and index.
Formatted Contents Note
Introduction
Earth
Labor
Data
Classification
Affect
State
Conclusion : Power
Coda : Space
Earth
Labor
Data
Classification
Affect
State
Conclusion : Power
Coda : Space
Historical Data
Kate Crawford is a senior principal researcher at Microsoft Research, the inaugural visiting chair of AI and Justice at the École Normale Supérieure, and the Miegunyah distinguished visiting fellow at the University of Melbourne. She co-founded the AI Now Institute at New York University, and leads the Foundations of Machine Learning international working group. She lives in New York City.
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