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Feeding the Machine

The Hidden Human Labour Powering AI
Brief Description
Big Tech has marketed the utopian vision of artificial intelligence as a seamless technology poised to usher in an era of wealth and prosperity for all. However, beneath this polished facade lies a harrowing reality, where an unstable global workforce toils in often deplorable conditions to... Read More
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The first book to tell the stories of the army of underpaid and exploited workers powering artificial intelligence, Feeding the Machine tells the story of a global technology through the eyes of the people who produce it

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Big Tech has marketed the utopian vision of artificial intelligence as a seamless technology poised to usher in an era of wealth and prosperity for all. However, beneath this polished facade lies a harrowing reality, where an unstable global workforce toils in often deplorable conditions to sustain the AI industry. Feeding the Machine dispels this myth through a compelling and urgent investigation, unearthing the complex web of organisations that perpetuate this exploitative system and laying bare the hidden truths of AI.

This eye-opening work is grounded in extensive research, including hundreds of interviews and thousands of hours of fieldwork conducted over more than a decade. It reveals the lives of AI workers who are typically kept in the shadows, shedding light on the power structures that govern their futures. The book vividly illustrates how AI functions as an extraction machine, relentlessly consuming vast datasets and drawing upon human labour and collective intelligence to fuel its algorithms. Through these narratives, Feeding the Machine shows the sacrifices and struggles of these workers whose contributions are essential yet obscured.

Feeding the Machine serves as both an exposΓ© and a manifesto. It not only highlights the inherent injustices within the current AI paradigm but also offers a clarion call for action. The authors detail strategic steps we can takeβ€”both as individuals and as a societyβ€”to challenge and dismantle this exploitative system. They advocate for a reimagined digital future, one that prioritises justice and equity over technological advancement for its own sake.

This book is an essential read for anyone interested in the ethical implications of artificial intelligence, labour rights, and the future of our digital economy. It propels readers into the underworld of AI, spotlighting the human cost of digital progress and calling for a committed response to create a fairer, more humane technological landscape.

Book Details

INFORMATION

ISBN: 9781837261857

Publisher: Canongate Books

Format: Paperback / softback

Date Published: 18 July 2024

Country: United Kingdom

Imprint: Canongate Books

Edition: Export/Airside - Export/Airside/Ireland

Audience: General / adult

DIMENSIONS

Spine width: 21.0mm

Width: 153.0mm

Height: 234.0mm

Weight: 368g

Pages: 288

About the Author

James Muldoon, Mark Graham and Callum Cant work together at Fairwork, a project established to highlight the best and worst examples of how new technologies are being used in the workplace.

James Muldoon is a Reader in Management at the University of Essex, a Research Associate at the University of Oxford and the Head of Digital Research at the Autonomy think tank. His research examines how modern technologies such as artificial intelligence and digital platforms can create public value and serve the common good.

Mark Graham is Director of Fairwork and Professor at the Oxford Internet Institute, University of Oxford. As an internet geographer, Mark studied the growth of a global digital labour market since the first arrival of submarine internet cables in Kenya in 2009. He has also written for publications including Wired and the Guardian.

Callum Cant is a Senior Lecturer at the University of Essex Business School, where his research focuses on work, technology, and the crises of the 21st century. He has written for publications including the New Internationalist and Vice News. He edits Notes from Below, a journal of worker writing.

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