Processes and mechanisms that enable meaningful human supervision, intervention, and control over AI systems throughout their lifecycle. Human oversight ensures that humans maintain appropriate authority over AI operations and decisions.

Human oversight represents a core principle of responsible AI, ensuring that AI remains a tool in service of human objectives rather than an autonomous decision-maker. Effective oversight requires both technical mechanisms (like confidence thresholds that trigger human review) and organisational processes (like clear accountability structures). The appropriate level and form of oversight varies based on the application risk: higher-risk contexts require more robust oversight, while lower-risk applications may need less intensive supervision.

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A content moderation system where AI makes initial assessments but routes uncertain or sensitive cases to human moderators, while providing humans with override capabilities and tracking key performance metrics to identify systematic issues requiring intervention.