Process Layer: Governance, Assurance and Ethical Controls

Aim

Show how responsible AI requires structured processes. AI governance cannot be treated as a final approval gate, because risks continue to evolve after deployment.

Topics

• Governance models (guiding, nudging, selecting)
• Escalation paths and decision frameworks
• Lifecycle controls and checkpoints
• Testing for fairness, explainability and resilience
• Continuous assurance and shift-right governance
• Monitoring for drift, bias and anthropomorphic behaviour
• Reporting structures and metrics

Activities

• Build a simple governance flow
• Drift monitoring demonstration
• “What would you escalate?” scenario game