Auditing AI
$43.78
- Paperback
216 pages
- Release Date
26 May 2026
Summary
Our lives are increasingly governed by automated systems influencing everything from medical care to policing to employment opportunities, but researchers and investigative journalists have proven that AI systems regularly get things wrong.
Auditing AI is a first-of-its-kind exploration of why and how to audit artificial intelligence systems. It offers a simple roadmap for using AI audits to make product and policy changes that benefit companies and the public alike. The book…
Book Details
| ISBN-13: | 9780262051729 |
|---|---|
| ISBN-10: | 0262051729 |
| Author: | Marquand House Collective |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 216 |
| Release Date: | 26 May 2026 |
| Weight: | 369g |
| Series: | The MIT Press Essential Knowledge series |
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Critics Review
“A great book that holds AI accountable—and shows how we can too.”
–Technology, Networks, and Sciences blog
Marquand House Collective
The Marquand House Collective is an interdisciplinary group of eleven experts in AI auditing, bringing together knowledge from computing, law, policy, social science, and journalism. The term “algorithm audit” was coined by members of this collective in 2014. The full group convened in 2024 at Marquand House in Princeton, New Jersey.
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