Nathan Carter, Professor of Mathematical Sciences and Director of the Center for Analytics and Data Science at Bentley University, joins the podcast to share his current research on whether AI can accurately grade mathematical proofs and provide meaningful feedback to students. The conversation explores the challenges of precision, logic, and ethical concerns in AI-assisted grading, and considers broader implications for teaching, learning, and faculty development. Listeners will also gain insights from Bentley’s participation in the AAC&U Institute for AI in Pedagogy and Curriculum, including practical frameworks for evaluating and integrating AI tools in higher education.