What question did this study set out to answer?

The aim is to determine when human intervention is necessary for successful AI agent operation and to categorize these interventions.

July 29, 2026Open Access

Grounds, Frames, and Standing: Human Interventions in Agentic Work and the Limits of Delegation

View Full Paper

Ask AI

Bookmark

Authors

Examines the role of human intervention in AI operations, suggesting the need for deeper exploration into delegation mechanisms.

The aim is to determine when human intervention is necessary for successful AI agent operation and to categorize these interventions.
Documented seven months of practice with LLM coding agents using structured session retrospectives.
Derived nine mechanisms of human intervention indexed by their epistemic content.
Examined existing taxonomies and identified gaps in understanding intervention types based on content.
91.49% of failure resolutions required explicit user correction, highlighting the crucial role of human input.
Identified three classes of mechanisms: those that can be absorbed by capability growth, those that require secondary reasoning, and those needing a principal.
Established a taxonomy that provides a framework for understanding human contribution to machine reasoning across various fields.

Jongsun Suh (2026) studied this question.

View Full Paper

Ask AI

Bookmark