Authenticating Intelligence offers a historically and philosophically-grounded examination of what generative AI means for education-cutting through both hype and panic to focus on what truly matters in the here-and-now for human learning. Written very accessibly but well supported by both recent and classic scholarship, this book is valuable for educators and other thinkers who have fundamental questions about the role of AI in the educational system.

Victor R. Lee, Associate Professor, Stanford University, Graduate School of Education

Dr. Stephen J. Aguilar's Authenticating Intelligence is essential reading for anyone committed to learner-centered, equitable education in the age of AI. Aligned to Digital Promise's Powerful Learning framework, this book demonstrates how generative AI can amplify-rather than replace-the competencies that matter most: critical thinking, creative problem-solving, and authentic intellectual engagement. Aguilar masterfully bridges scholarship across philosophy, psychology, and educational technology to address our most pressing challenge: designing learning experiences where AI serves as a thinking partner that deepens understanding rather than a shortcut that bypasses it. His work on digital equity and academic integrity pushes us beyond surface solutions toward fundamentally rethinking what authentic learning means when machines can generate flawless outputs. Whether you're an educator, policymaker, or researcher, this book provides the ethical frameworks and actionable guidance needed to ensure AI enhances human agency and the pursuit of knowledge itself-the very foundations of powerful learning in our digital age.

Jean-Claude Brizard, President and CEO, Digital Promise Global