Understanding AI Bias
A Guide to Algorithms, Fairness, and Power
This book introduces AI bias through familiar experiences: social media feeds, college admissions, job applications, classroom tools, and image generators. It requires no coding or advanced mathematics. The book examines how bias enters AI systems, how it affects people, and what individuals, institutions, companies, and governments can do about it. It connects technical concepts with questions about identity, inequality, accountability, and democratic participation. Includes eighteen chapters, an introduction and conclusion, worked examples, discussion questions, classroom activities, a capstone project, glossary, and references.
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