Description
Feeding the Machine uncovers the largely invisible human workforce that sustains artificial intelligence technology. While AI is portrayed as autonomous and self-improving, this book demonstrates that complex systems of human labor—from data annotation to content moderation—form the essential backbone of every major AI platform.
Authors Callum Cant, James Muldoon, and Mark Graham investigate the global supply chains of AI work, revealing how millions of workers in low-wage countries perform repetitive, often hazardous tasks to train machine learning models. Through interviews and case studies, they expose the poor working conditions, lack of protections, and exploitation faced by those whose labor is crucial yet systematically undervalued and rendered invisible.
The book challenges the myth of fully automated intelligence and calls for a reckoning with AI’s true human cost, arguing for worker rights, fair compensation, and ethical accountability in the AI industry.
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