Deep Unlearning: The Rise of AI and the Radicalization of a Tech Idealist
by Timnit Gebru
What the AI boom chose not to tell you.
For you if
you have sensed that AI is not neutral and needed someone on the inside to prove it.
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Timnit Gebru was fired from Google for writing a paper that said, plainly, that large language models are not what they claim to be. That firing is the center of this book — but what builds up to it, and what comes after, is the real story. This is a memoir about radicalization: how a refugee from the Ethiopian-Eritrean war found science as a refuge, rose to co-lead ethical AI at Google, and then discovered that the tech world she had believed in was making choices — deliberate, specific, accountable choices — that would harm billions of people. Gebru names those choices, names who made them, and argues they can still be unmade.
Where This Book Lives
Gebru was co-lead of ethical AI at Google until Google fired her for co-writing a paper arguing that large language models posed real risks. She has since founded DAIR, the Distributed Artificial Intelligence Research Institute. This book matters because it is not theoretical: it is a firsthand account of how the decisions that shaped modern AI were made, by whom, and what those choices cost the people the systems were not built to serve.
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