AI-Generated Feedback as a Pedagogical Tool

AI-generated feedback is rapidly entering higher education as institutions search for more responsive, scalable, and learner-centered approaches to assessment. Yet its value cannot be reduced to speed, automation, or convenience. This chapter examines AI-generated feedback as a pedagogical tool that can reshape how students interpret their work, revise their thinking, and participate more actively in learning. It explores the opportunities offered by generative AI, including timely formative guidance, personalized explanations, iterative revision support, and expanded access to feedback in large or resource-limited courses. At the same time, it addresses the risks of overdependence, generic responses, hidden bias, weakened teacher judgment, and the possible erosion of meaningful human dialogue. The chapter argues for careful design principles rooted in transparency, contextual sensitivity, student agency, feedback literacy, and human oversight, positioning AI not as a replacement for educators but as a thoughtfully governed partner in assessment design.