Part III — AI Governance, Risk, and Leadership

This part focuses on ownership, risk, compliance, evidence, and the organisational changes required to use AI responsibly at scale. The central theme is that responsible AI is not achieved by policy language alone. It depends on operating controls, current documentation, credible escalation, and leadership that can redesign work rather than merely add tools.

The most useful way to read this part is through five governance questions:

  1. What is this system being trusted to do?
  2. What happens if it is wrong?
  3. Who remains accountable?
  4. What evidence makes use acceptable?
  5. Where must humans stay in control?

Chapters

  • Establishing an AI Governance Framework
  • Managing AI Risk
  • Compliance and Audit Readiness
  • Leading Organizational Transformation

Next: Establishing an AI Governance Framework →

Table of contents

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