Today Dean talks to University of Calgary professor Dr. Sarah Eaton about academic integrity in the age of generative AI, moving beyond a simple cheating/not-cheating frame toward “post-plagiarism,” inspired by plagiarism scholar Rebecca Moore Howard’s “Don’t Police, Just Teach” approach and Eaton’s early awareness of GPT-2 in 2020. They discuss contract cheating as a pre-ChatGPT concern, including K–12 marketing to parents, and emphasize prevention through relationships, open conversations, formative assessment, and supportive accountability despite grade-driven incentives. Eaton critiques AI moral panics and notes emerging issues like AI agents and AI glasses, arguing bans can conflict with accessibility needs. She questions the value of AI disclosure given pervasive AI in tools like grammar checkers and Google, critiques detection-tool “arms race” dynamics, and highlights ethical concerns (environment, bias, labor, copyright) alongside AI’s potential benefits for equity and inclusion. 00:00 AI Disclosure Doubts 01:12 Meet Dr Sarah Eaton 04:17 Post Plagiarism Origins 06:21 AI On The Radar 07:39 Contract Cheating Era 09:03 K12 Essay Mill Marketing 10:41 Teaching Integrity Not Fear 14:16 Prevention And Support 16:03 Grades And Incentives 23:11 Tech Panics And Wearables 25:22 AI Literacy Gaps 26:19 Ethics And Resistance 28:22 Why We Must Engage 31:03 Deepfakes And Duty 32:57 Assessment In Real Time 37:03 Disclosure Debate 42:44 Detection Arms Race 45:23 Accessibility And Equity 47:35 Wrap Up And Recommendations