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Article 14 — Human Oversight

High-risk AI systems must be designed so a human can effectively oversee, understand, monitor, intervene, override, and choose not to use the system in any particular case.

Audit-survivable
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What the Article requires

Article 14 requires high-risk AI systems to be designed to enable effective human oversight during the period the system is in use. The oversight must be operable by a person who can: fully understand capabilities and limitations, monitor operation to detect anomalies, remain aware of automation bias, interpret outputs correctly, decide not to use the system in any particular case, and intervene to halt or reverse the system. For some Annex III categories (e.g., biometric ID), two-person oversight is required.

In engineering terms

The translation from regulatory language to engineering practice is non-trivial. Most existing 'human in the loop' implementations don't satisfy the effective-oversight standard. MindMap's approach: a structured oversight protocol per AI system, documented competence requirements for the human reviewer, explicit override authority captured in the audit trail, and an automation-bias-mitigation discipline (cooling-off periods on rapid-fire decisions, mandatory two-person review on high-stakes outputs).

Compliance checklist

  • ✓Documented oversight protocol per AI system
  • ✓Named reviewer roles with competence requirements
  • ✓Override authority captured in audit trail
  • ✓Automation-bias mitigation (e.g., randomised review samples)
  • ✓Two-person review where required by Annex III subcategory

Terms used here

Article 14 (Human Oversight)EU AI ActAnnex III high-risk AI

All Articles in the reference · The EU AI Act compliance architecture

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The EU AI Act Readiness Kit puts this checklist, and the other 13 Articles', into one fill-in PDF with room for an owner, evidence location and target date on every item. Plus an AI system inventory, a classification record, an Annex IV outline and a FRIA template.

  • 01How to use this kit. Four steps, and which checklists apply to each classification result.
  • 02AI system inventory. One row per AI system: owner, what it does, built or bought, your role and its classification.
  • 03Classification record. The five questions from our applicability checker, with space for answers, notes and the result.
  • 04Evidence checklists. 72 evidence items across Articles 9 to 15, 25, 26, 27, 50, 53, 55 and 72, each with an owner, evidence location and target date.
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