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- Title: Auditing AI
- Author(s) The Marquand House Collective
- Publisher: The MIT Press (April 21, 2026); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Hardcover/Paperback: 204 pages
- eBook: PDF and PDF Files
- Language: English
- ISBN-10: 0262051729
- ISBN-13: 978-0262051729
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This book explores 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.
About the Authors- The Marquand House Collective comprises eleven experts in AI auditing spanning computing, law, policy, social science, and journalism.
- Artificial Intelligence and Logic Programming
- Machine Learning
- Neural Networks and Deep Learning
- Robotics and Robot Programming
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