← Mandate Registry · 7 mandate layers · model_collapse
tech_data · EU AI Act Article 10 · FTC AI guidance · Privacy Act reforms
Model Collapse / Verified Data
Model collapse from synthetic data — prove training data provenance or copyright defeat
—Privacy Act reforms + APRA CPS 234
Regulatory exposure — commonly overlooked:
Model trained on AI-generated data — vendor owns collapse risk, deployer owns downstream harm. · APRA expects bank AI incident documentation within 72h — receipt enables notification.
NYT litigation
Prove what data model saw — receipt at training decision point.
Art 10 EU
Training data governance mandatory — provenance receipt satisfies documentation.
Quality degradation
Collapse detection requires baseline receipt — compare model version decisions.
[Australia] Mining + AI
Australia resource sector AI — WHS obligations for automated safety decisions.
[Australia] Insurance pool
APRA general insurance AI pricing scrutiny — asymmetry feed relevant.
[Text / Chat] Modality hook
Baseline — all frameworks apply to text decisions.
7 mandate layers (live)
Regulatory Clock
Countdown to operative regulatory deadline — NAIC adoption, GSE mandate, EU transposition.
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Domain Classifier
Industry-specific SAFE/CRISIS/VIOLATION with regulatory framework mapping.
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Exhibit / Filing Pack
Regulator-ready external validation — NAIC Exhibit D, Fannie QC, EU FRIA, FDA Part 11.
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Mandate Registry
Enroll deployers/insureds under vertical-specific governance mandate.
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Bind / Action Gate
ALLOW/BLOCK before consequential action — bind policy, sell loan, deactivate worker.
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Compliance Certificate
Deployer-facing downloadable cert — forward to counsel, auditor, regulator.
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Actuarial / Risk Feed
Anonymized asymmetry signals for pricing, reserving, reinsurance correlation.
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