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 scenario-based presentation, Dr Leon Furze draws on his open educational resource Teaching AI Ethics (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. Participants will examine 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.

Throughout the session, participants 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.

Contact the host of CREDS Seminar with Leon Furze: Teaching AI Ethics