AI Governance

Scope

Governance is treated here as something that runs across the whole life of an AI system, rather than a sign-off at launch. The course looks at how organisations can keep their tools effective while also making them safe, fair and answerable to someone.

Risks in focus

Bias gets most of the attention in public debate, but the course also points to misalignment and overreliance, and to the uncomfortable fact that well-meant systems still fail. Examining that failure mode is useful because it pushes teams to plan for it.

Who should read it

Managers, risk and compliance staff, and anyone who signs off on AI deployments will find the framing practical. Ethical frameworks and incident response plans are covered, so the course speaks to what happens after something goes wrong as well as what should be prevented.

• Governance is continuous across the lifecycle of a system.
• Incident response belongs in the governance design, not after it.
• Overreliance is a risk in its own right, separate from accuracy.