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portada Feeding the Machine: The Hidden Human Labor Powering A.I.
Type
Physical Book
Language
English
Pages
368
Format
Hardcover
Dimensions
23.5 x 15.6 x 2.5 cm
Weight
0.45 kg.
ISBN13
9781639734962

Feeding the Machine: The Hidden Human Labor Powering A.I.

Mark Graham (Author) · James Muldoon (Author) · Callum Cant (Author) · Bloomsbury Publishing · Hardcover

Feeding the Machine: The Hidden Human Labor Powering A.I. - Graham, Mark ; Cant, Callum ; Muldoon, James

Cheaper New Book Imported to South Africa
Delivery: 28 Jul - 21 Aug Shipping: 13 to 15 business days.
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Used BookGood Condition Imported to South Africa
Delivery: 29 Jul - 27 Aug Shipping: 14 to 19 business days.
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Synopsis "Feeding the Machine: The Hidden Human Labor Powering A.I."

For readers of Naomi Klein and Nicole Perlroth, a myth-dissolving exposé of what "artificial intelligence" really means, and a resounding argument for an equitable future of A.I. 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.

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