Action Learning for AI Ethics: Learning While Doing
The most important learning about ethical AI does not happen in classrooms. It happens in the encounter with real, complex, […]
AI Ethics
The Critical Lens: Synthesising Theory for Responsible AI
Each of the four critical traditions explored in this series, Critical Race Theory, Feminist Theory, Marxist Theory, and Postmodern Theory,
Truth, Power and Code: Postmodern Theory and AI
Postmodern theory questions the foundations of knowledge, truth, and objectivity that modernity took for granted. It examines how power shapes
Capital, Labour and Code: Marxist Theory and AI
Marxist theory provides a framework for understanding the economic relations that shape society: who owns the means of production, how
Action Research and Ethical AI: Investigating to Improve
Ethical AI is not a destination. It is an ongoing inquiry. Action Research — a cyclical methodology of planning, acting,
Appreciative Inquiry for Responsible AI
What if the foundation for ethical AI already exists in your organisation — in the values people hold, the decisions
Eight Steps to Ethical AI: Kotter’s Framework in Practice
Most ethical AI initiatives fail — not because the framework was wrong, but because the change was not led well.
Leading Ethical AI Transformation: Lewin’s Change Model Applied
Ethical AI does not embed itself. It requires deliberate, sustained organisational change. This course applies Kurt Lewin’s Unfreeze-Change-Refreeze model to
Thinking Before We Build: An Introduction to Responsible AI & Ethics
AI is moving faster than the wisdom needed to guide it. This free micro-course is an invitation to slow down