What audit trail is required for regulated ML?

hard

Answer

$(1) Training data source + version + snapshot.$
$(2) Preprocessing code + config.$
$(3) Model architecture + hyperparameters + seed.$
$(4) Evaluation metrics on holdout + fairness slices.$
$(5) Approval workflow (who signed off, when).$
$(6) Deployment history (versions + dates).$
$(7) Prediction logs with input, output, ground truth (when available).$
$Regulations: SR 11-7 (US banking), Basel III (finance), EU AI Act (high-risk AI), GDPR (right to explanation).$
$Store immutably 5-10 years.$

Check yourself — multiple choice

Random
Data version + preprocessing + model + eval + fairness + approval + deployment + prediction logs; SR 11-7 / Basel III / EU AI Act / GDPR; immutable 5-10 years
Not needed
Just logs

ML audit: full trace + fairness + approval + logs; regulatory.

#reproducibility#safety

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