Designing Safe AI for Education: From Policy to Practice

Designing Safe AI for Education offers a comprehensive, human-centred framework for how educational institutions can adopt artificial intelligence responsibly, ethically, and safely. As AI becomes embedded in classrooms, assessments, and everyday learning tools, institutions face growing risks to learner agency, academic integrity, data privacy, and trust. This book addresses those challenges directly.Moving beyond technical discussions, the book presents a structured institutional approach to AI adoption—grounded in safety, governance, and educational purpose. It introduces clear frameworks that connect learning pillars, epistemic sovereignty, and human agency with practical governance mechanisms, validation protocols, and classroom-level practices. Readers are guided through the full lifecycle of AI adoption, from readiness and risk assessment to integration, oversight, and long-term sustainability.Written for university leaders, policymakers, school administrators, educators, and EdTech decision-makers, the book provides a roadmap for navigating AI innovation without compromising human dignity, cultural identity, or pedagogical integrity. It addresses the often-overlooked risks of built-in and unvalidated AI tools, emphasizes the central role of teachers in AI-mediated learning environments, and offers concrete strategies to prevent silent adoption and unmanaged risk.Designing Safe AI for Education positions safety not as a barrier to innovation, but as the foundation of trust. By placing human judgment at the center of technological change, the book empowers institutions to lead AI adoption with clarity, responsibility, and confidence—shaping a future where technology strengthens learning rather than redefining it. Read more