Auditing AI

By Karrie G. Karahalios (MIT Press, 2026). This book serves as a first-of-its-kind roadmap for auditing artificial intelligence systems to prevent decision-making failures in health care, policing, and employment. Using canonical examples of AI gone wrong, from misidentified facial recognition to biased hiring algorithms, this book explains why robust audits are essential and how they drive concrete policy and corporate change.