Artificial intelligence is transforming education, but its success hinges on ethical, inclusive, and pedagogically sound implementation, write Patrick Blessinger, Abhilasha Singh (American University), and James Brown (City University of New York) for University World News. The authors argue that tools like intelligent tutoring systems and predictive analytics can personalize learning and support instructors in higher education. However, while AI can assist with tasks such as automating feedback or identifying learning gaps, it cannot replace the human capacity to interpret nuance, build relationships, or mentor students through complex challenges. For postsecondary institutions, this means rethinking faculty development, embedding AI literacy across programs, and closing digital equity gaps. “AI-powered learning is not a story about machines. It is about people,” the authors conclude.
