IGGQ Research Publishing
Machine Intelligence & Responsible Systems
Perspective Published August 5, 2026 Article mi20260005

Human Oversight in Agentic AI: Authority, Interaction, and Failure Containment

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Abstract

This perspective examines human oversight in agentic artificial-intelligence systems. The organizing question is where authority should reside when planning, delegation, tool use, and recovery are distributed across agents. Ten related scholarly sources are synthesized through a decision-centered framework spanning problem definition, mechanism, measurement, evaluation, implementation, and governance. The review does not invent experiments, pooled estimates, or unreported quantitative results. It instead evaluates the strength and transferability of the available evidence, with particular attention to assuming that adding a human approval step guarantees meaningful control. The resulting framework links technical or empirical performance to explicit use conditions and identifies tests that should precede wider adoption in agentic systems acting on organizational resources.

Keywords
agentic AIhuman oversightautonomous agentssafetyauditability
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Publication details
Journal
Machine Intelligence & Responsible Systems
Volume
1 (2026)
Article number
mi20260005
License
CC BY 4.0