Auditing AI

"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 aims to convince readers that AI systems should be subject to robust audits to protect all of us from the dangers of these systems. Readers will come away with an understanding of what an AI audit is, why AI audits are important, key components of an audit that follows best practices, how to interpret an audit, and the available choices to act on an audit’s results."

The book is available open-access from MIT Press. It was authored by the Marquand House Collective: Faculty Associate Marc Aidinoff and Affiliate Lena Armstrong; and former Fellows Ellery Roberts Biddle, Karrie Karahalios, J. Nathan Matias, and Christian Sandvig; and Esha Bhandari, Motahhare Eslami, Danaé Metaxa, Alondra Nelson, and Kristen Vaccaro.