Attackers exploit human oversight dependencies by flooding reviewers with excessive intervention requests, inducing decision fatigue and rushed, less-scrutinised approvals. In a multi-agent system: A multi-agent pipeline surfaces a burst of near-simultaneous approval requests to a single reviewer, who — under time pressure — approves several without the scru…
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Overwhelming HITL describes a human-in-the-loop pattern in which people must handle so many review or approval decisions that oversight itself becomes a bottleneck.
The term combines human-in-the-loop with the observation that agentic systems can shift risk onto people through frequent or poorly grouped requests. OWASP discusses this risk in the context of agentic AI threats and mitigations.
Imagine a control room that asks for approval of every small action: a person remains involved but can no longer review the volume carefully. Risk-based thresholds, batching, and escalation keep oversight workable.
The number and complexity of human decisions can exceed available attention.
Rules and thresholds define which actions run automatically and which require approval.
Uncertain or consequential cases are routed deliberately to people.
The pattern shows that human oversight can fail through overload. Teams should design risk-based approvals, batch decisions, and monitor actual review quality.
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