Zhang explores AI’s impact on human cognition in new book

"Cognitive Revolution," a new book by cognitive scientist Jiajie Zhang, PhD, explores how AI and other technologies are reshaping human cognition—turning intelligence into a more shareable, scalable, and system-level resource—and what that means for the future of medicine, healthcare, science, and society.

Rethinking how we think

Zhang, dean and The Glassell Family Foundation Distinguished Chair in Informatics Excellence at McWilliams School of Biomedical Informatics at UTHealth Houston, challenges traditional views of the mind as something confined within the brain.

Drawing on decades of research in cognitive science, he presents a framework that views cognition as something spanning people, tools, environments, and systems. According to Zhang, this perspective has profound implications for how we design AI-enabled tools, clinical workflows, research processes, and learning environments.

Bringing together insights from cognitive science, artificial intelligence, and human-computer interaction, Zhang illustrates how thinking is shaped not just by neurons, but by people, tools, data, organizations, and the world around us.

Transforming medicine and healthcare

A central theme of Zhang’s book is its relevance to modern medicine and healthcare. Zhang highlights how understanding distributed cognition can improve patient safety, clinical decision-making, research, and system design—particularly in high-stakes environments like hospitals and surgical settings.

“In this view, AI can shift clinical work from data entry to data verification and from recall to recognition, while research moves from isolated hypothesis generation to evaluation at scale,” Zhang said.

By reimagining cognition as a human-AI, system-level phenomenon, the book aligns closely with UTHealth Houston’s mission to advance interdisciplinary innovation and improve health outcomes through research and education. It also points to the need for AI-native health systems that redesign workflows, governance, and learning around human-AI collaboration rather than treating AI as a standalone tool.

A timely contribution

As technology becomes more deeply embedded in everyday life, Zhang adds to the ongoing discussion about the role of AI in medicine, education, and society. He offers readers, from researchers and clinicians to students and innovators, a new lens for understanding intelligence, collaboration, and the future of human performance in medicine, healthcare, and society. The book emphasizes three ways AI is changing everything: Knowledge is free; judgment is key; and hybrid human-AI collaboration is the future of medicine, healthcare, science, and society.