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

Reading Authenticating Intelligence means having a conversation with Stephen about how to think about AI. Stephen has a way of providing examples and framing questions that strips away the hyperbole and hysteria and presents a pragmatic lens for understanding and envisioning what the ubiquity of AI could mean for education. He stresses how, as a tool (or rather many different tools), the degree to which AI disrupts our approach to learning is dependent on much more than the tools themselves. Instead, like all the educational technology “disruptors" that have come before, it is foremost about people and context and how they interact with the technology. Everyone, whether in higher education, K-12 education, or the corporate world – is scrambling to understand what AI means, and what policies and practices are necessary as its application expands. Authenticating Intelligence equips the reader with a toolkit for critically examining and discussing both future possibilities and current practices – a perspective that will continue to serve even as the technology inevitably changes.

Dr. William R. Watson, Professor of Learning Design and Technology, Chair of the College of Education's AI and Data Science Working Group, Conference Organizer for the Purdue AI in P-12 Education Conference, Purdue University