Feeding the Machine : The Hidden Human Labor Powering A.I.
Language: English
Published by Bloomsbury USA Aug 2024, 2024
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
Neuware - For readers of Naomi Klein and Nicole Perlroth, a myth-dissolving exposé of how artificial intelligence exploits human labor, and a resounding argument for a more equitable digital future.Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.Based on hundreds of interviews and thousands of hours of fieldwork over more than a decade, Feeding the Machine describes the lives of the workers deliberately concealed from view, and the power structures that determine their future. It gives voice to the people whom A.I. exploits, from accomplished writers and artists to the armies of data annotators, content moderators and warehouse workers, revealing how their dangerous, low-paid labor is connected to longer histories of gendered, racialized, and colonial exploitation. A.I. is an extraction machine that feeds off humanity's collective effort and intelligence, churning through ever-larger datasets to power its algorithms. This book is a call to arms that details what we need to do to fight for a more just digital future.…
Seller Inventory # 9781639734962
- Title
- Feeding the Machine : The Hidden Human Labor Powering A.I.
- Author
- Callum Cant
- Publisher
- Bloomsbury USA Aug 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1639734961
- ISBN 13
- 9781639734962
- Item weight
- 546 grams
- Dimensions
- 241x165x24 mm
For readers of Naomi Klein and Nicole Perlroth, a myth-dissolving exposé of how artificial intelligence exploits human labor, and a resounding argument for a more equitable digital future.
Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.
Based on hundreds of interviews and thousands of hours of fieldwork over more than a decade, Feeding the Machine describes the lives of the workers deliberately concealed from view, and the power structures that determine their future. It gives voice to the people whom A.I. exploits, from accomplished writers and artists to the armies of data annotators, content moderators and warehouse workers, revealing how their dangerous, low-paid labor is connected to longer histories of gendered, racialized, and colonial exploitation.
A.I. is an extraction machine that feeds off humanity's collective effort and intelligence, churning through ever-larger datasets to power its algorithms. This book is a call to arms that details what we need to do to fight for a more just digital future.
"Synopsis" may belong to another edition of this title.
About the Author
James Muldoon, Mark Graham, and Callum Cant are based together at the Oxford Internet Institute, Oxford University, where Dr. Graham is a Professor of Internet Geography and Director of Fairwork, a global digital labor rights project active in the United States and 37 other countries. He has written for the Atlantic and the Guardian. Dr. Cant is the author of Riding for Deliveroo, the first ethnographic book on online food delivery. Dr. Muldoon is Associate Professor of Management at the University of Essex.
"About the title" may belong to another edition of this title.
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