AI Ethics, Fairness & Bias Toolbox

AI Model Ethics & Fairness Review Checklist

An actionable, evidence-capturing checklist for assessing fairness, bias, ethics, and safety risks before deploying clinical AI. The interactive form guides reviewers through data representativeness, subgroup performance, explainability, clinical validation, governance and monitoring, mitigation options, and stakeholder sign-off while saving structured responses for audits and follow-up.