Nudge Theory and AI Governance, Designing for Better Choices
Most approaches to AI governance rely on mandates: rules, regulations, standards, and enforcement mechanisms that require compliance. Nudge theory offers […]
Most approaches to AI governance rely on mandates: rules, regulations, standards, and enforcement mechanisms that require compliance. Nudge theory offers […]
The most important learning about ethical AI does not happen in classrooms. It happens in the encounter with real, complex,
Ethical AI is not a destination. It is an ongoing inquiry. Action Research — a cyclical methodology of planning, acting,
What if the foundation for ethical AI already exists in your organisation — in the values people hold, the decisions
Most ethical AI initiatives fail — not because the framework was wrong, but because the change was not led well.
Ethical AI does not embed itself. It requires deliberate, sustained organisational change. This course applies Kurt Lewin’s Unfreeze-Change-Refreeze model to