Chapter 07: Learning Objectives

• Identify the limitations of detection-only systems and explain why real-time escalation roles are essential to trustworthy AI deployment.
• Evaluate how interface-level failures (e.g., poor dashboards, noisy logs, non-actionable signals) can undermine human oversight in high-risk systems.
• Analyze the impact of participatory design on AI governance, particularly in domains like education and public services.
• Differentiate between passive, reactive, and adaptive feedback systems and their role in maintaining system accountability.
• Assess governance frameworks and escalation protocols that support responsible post-deployment model evolution.