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Structured measures by which humans monitor, validate and correct automated decisions to ensure reliability and accountability.
Human oversight denotes organizational and technical measures by which humans monitor, validate and correct automated decisions and algorithmic systems. Its goal is to ensure reliability, accountability and ethical compliance during production and operation. It includes processes, roles and control points across the operational lifecycle.
Share of errors detected through human review.
Time an average reviewer needs per decision.
Percentage of cases processed without human intervention.
Human reviewers perform sample checks of automated rejections and correct misjudgements.
Moderators check automatically filtered content when uncertain and decide on visible actions.
Operators intervene on outliers, perform rollbacks and document decision rationale.
Analyze decision flows and perform risk assessment
Define control points and escalation rules
Integrate monitoring and alerting pipelines
Train reviewers and set SLAs