This practical and justice-driven guide helps librarians and other educators teach AI literacy with critical awareness, ethical grounding, and pedagogical purpose.

As generative AI tools like ChatGPT and DALL·E reshape how students write, search, and think, this book equips educators with the critical frameworks and practical strategies needed to teach AI literacy ethically, thoughtfully, and with social purpose.

Grounded in critical pedagogy, information literacy, and digital equity, Teaching AI Literacy demystifies artificial intelligence for librarians and other educators by explaining key concepts such as generative AI, predictive algorithms, and algorithmic bias in plain, accessible language with clear examples for classroom use. It equips librarians and other educators with practical tools to teach AI literacy, including adaptable lesson ideas, conversation starters, assessment strategies, and frameworks aligned with the ACRL Framework for Information Literacy for Higher Education. With a focus on access, inclusion, and justice, it empowers educators to design AI-integrated lessons that help students interrogate algorithms rather than simply use them.

This book is for anyone who teaches, supports, or engages with learners in a digitally mediated environment: academic librarians, course instructors, education technologists, and institutional leaders alike. It is especially relevant for those seeking to respond to AI with intentionality rather than fear. This timely and essential book not only offers what to teach about AI, but how and why it matters now more than ever.