When delegating a research revision to an AI agent, assign a strictly bounded task to prevent recurring omissions. The delegation instructions should require the agent to compare all relevant datasets, keep distinct respondent populations separated, explicitly cite sample counts and recruitment channels, highlight missing data, and frame recommendations with clear statements of uncertainty. Furthermore, the prompt must define the specific decision context the output serves, establish clear thresholds for consulting human experts, and require direct verification of the revised output against the underlying source material.

Delegating Bounded Tasks for AI Research Revisions

Verifying an AI-generated research claim requires checking the underlying source material rather than relying on the agent's confidence. The reviewer should request the original data sources, specific counts (numerators and denominators), recruitment methods, and any datasets omitted from the search. In addition, evaluators must distinguish directly observed sample findings from inferred generalizations, reporting the exact limits of the evidence to determine what decisions it can legitimately support.

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