Bridging AI and human workflows

AI model risk, validation & documentation checklist

An actionable, recordable checklist to evaluate AI model readiness for research use. Prompts reviewers to capture intended use, failure tolerance, data provenance, bias and robustness checks, validation results, interpretability and uncertainty practices, documentation and reproducibility steps, monitoring and retraining plans, approvals, and residual risk.