Teaching AI Ethics
AI platforms are now embedded in our classes, our students’ workflows, and our own professional practice – often whether we like it or not. But the ethical dimensions of these technologies, from bias and privacy to labour exploitation and emotional manipulation, are rarely discussed in ways that translate into teaching and policy.
In this interactive, scenario-based workshop, Dr Leon Furze draws on his Teaching AI Ethics series (teachingaiethics.com) to guide faculty through real-world case studies spanning nine ethical dimensions of AI: bias, environment, truth, copyright, privacy, data, emotions, human labour, and power. Working in teams, participants will examine prepared scenarios grounded in recent events, including content moderation labour practices, student data collection, AI-generated misinformation in government, and the rise of emotionally manipulative social chatbots.
Through structured discussion, faculty will explore how these ethical issues connect to their own disciplines, consider how to bring these conversations into their classrooms, and identify implications for institutional AI policies and academic integrity practices.
Participants will leave with practical approaches they can use immediately, along with access to the open-access Teaching AI Ethics eBook and resource collection.
Facilitator:
Dr. Leon Furze is an AI education consultant, author of Practical AI Strategies (2024), and creator of the Teaching AI Ethics series, which has been updated for 2025-26 with new research, case studies, and teaching resources. He works with schools, universities, and education systems internationally.
Modality:
On Zoom. Look up the link on this list of AI Symposium Zoom links (Highline login required)
About the 2026 AI Symposium workshop series:
2026 AI Symposium workshop sessions take place throughout Spring Quarter. Click here to view other workshops in the series.
