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Module 6 of 8 · 15 min
Stage 1 · Understand the map

Human oversight and automation bias

Explain what meaningful human oversight looks like in practice.

Learn

For high-risk AI, human oversight is intended to enable natural persons to understand limitations, monitor operation, interpret outputs appropriately and intervene where necessary.

A named human who always clicks 'approve' is not strong evidence of meaningful oversight. Automation bias can turn nominal review into rubber-stamping.

Good oversight design gives the reviewer enough information, authority, time and technical ability to challenge or override the AI.

Remember
  • •Human in the loop is not enough by itself.
  • •Reviewers need authority and usable information.
  • •Look for real override and intervention capability.
Client practice

The client says every AI decision has human sign-off. Name three pieces of evidence you would request to test whether that sign-off is meaningful.

Evidence you should be able to produce
Oversight procedureTraining/competence evidenceOverride and review logs
Source basis

Based on the uploaded EU AI Specialist lesson notes and checked against the consolidated EU AI Act in force on 27 July 2026. Where the source pack and current law differ, the current law wins.

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