Article 14 (Human Oversight)
The EU AI Act provision requiring high-risk AI systems to be designed for effective human oversight, including the human's ability to fully understand, decide not to use, and override the system's output.
What Article 14 (Human Oversight) means in practice
Article 14 of the EU AI Act requires high-risk AI systems to be designed so a human can effectively oversee their operation: understand the system's capabilities and limitations, monitor its operation to detect anomalies, decide not to use the system in any particular case, interpret its output correctly, and intervene to override or reverse its output. The translation from regulatory language to engineering practice is non-trivial — most existing "human in the loop" implementations don't satisfy the Article's effective-oversight standard. MindMap's agentic-AI deployments build oversight as a first-class concern: structured oversight protocol per AI system, documented competence requirements for the human reviewer, explicit override authority captured in the audit trail.
Related terms
EU AI Act →
The European Union's AI Act — risk-tiered regulation of AI systems, with high-risk-system requirements that effectively mandate auditability, human oversight and conformity assessment.
Annex III high-risk AI →
The schedule in the EU AI Act listing AI use cases automatically classified as high-risk — biometric ID, credit scoring, HR screening, healthcare diagnostic support, critical infrastructure, education, justice.
Agentic AI →
Systems where an LLM acts as a planner that chooses tools, decomposes tasks, and iterates toward a goal rather than producing a single completion.
Evaluation (evals) →
Systematic testing of an AI system against a curated set of inputs to measure quality on the dimensions the business cares about — accuracy, faithfulness, safety, format.
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All 62 terms, in plain language
Sovereign AI, RAG, agentic AI, IDP, MLOps and the regulations that shape enterprise AI.