Establish the formal identification, system classification, and accountable roles for this AI Impact Assessment before proceeding to system mapping.
Define system capabilities, operational context, human oversight boundaries, and available non-AI alternatives.
Verify that the AI system supports strategic objectives and aligns with fundamental trustworthy AI values.
Document legal compliance requirements, sign-offs, risk thresholds, and explicitly prohibited off-label uses.
Quantify expected organizational, consumer, and societal utility, and evaluate empirical evidence reliability.
Profile specific harm mechanisms, evaluate likelihood and severity, and calculate standardized risk scores.
Likelihood (1โ5) ร Impact (1โ5) = Risk Score (1โ25). Scores update live.
Specify active mitigations for all Medium, High, and Critical harms, assign accountable owners, and record accepted residual risks.
Document direct engagement with affected populations, frontline operators, domain experts, and marginalized groups.
Review independent Test, Evaluation, Verification, and Validation (TEVV) results and metric thresholds.
Synthesize findings across all pillars to issue an evidence-backed deployment recommendation.
Formal sign-off matrix across mandatory veto holders and accountable officers.
You can export this completed assessment to an Executive PDF report or Markdown file.