The Ethics of Artificial Intelligence in Education 1st Edition

The Ethics of Artificial Intelligence in Education (1st Edition) by delivers a timely, clear-eyed examination of how AI is reshaping teaching, learning, and policy around the world. This concise yet comprehensive volume captures the ethical challenges and practical solutions educators and institutions must confront as intelligent systems enter the classroom.

Grounded in current research and real-world scenarios, the book explores privacy, bias, accountability, transparency, and the equity implications of AI-driven tools. Readers will find thoughtful discussions of algorithmic decision-making in admissions and assessment, the implications of learning analytics for student autonomy, and frameworks for creating inclusive, responsible edtech. Case studies and policy insights make theoretical concepts immediately relevant to practice.

Designed for teachers, school leaders, instructional designers, higher-education researchers, and policymakers across North America, Europe, Asia, and beyond, this edition equips readers with actionable strategies to evaluate and implement AI responsibly. Learn to assess vendor claims, craft ethical AI policies, safeguard student data, and foster human-centered technology adoption that supports equity and pedagogical quality.

If you’re seeking a practical guide that balances ethical rigor with classroom realities, The Ethics of Artificial Intelligence in Education (1st Edition) is an essential read. Add this authoritative resource to your collection today to lead informed, ethical AI adoption in education and ensure technology serves learning—fairly and effectively.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.