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Regulatory Calendar tech_data · EU AI Act Article 10 · FTC AI guidance

Model Collapse / Verified Data

Model collapse from synthetic data — prove training data provenance or copyright defeat

EU AI Act Art 10 training data governance
Regulatory exposure — commonly overlooked:
Model trained on AI-generated data — vendor owns collapse risk, deployer owns downstream harm.

TAM / Exposure

Foundation model training · copyright litigation $10B+ exposure

Insurance lines

IP defense · E&O · D&O

Exhibit authority

Training Data Provenance + Collapse Detection Pack

Global leaders

OpenAI · Anthropic · EU Commission · NYT v OpenAI · Authors Guild

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.

7 mandate layers (live)

Regulatory Clock Countdown to operative regulatory deadline — NAIC adoption, GSE mandate, EU transposition. Open →
Domain Classifier Industry-specific SAFE/CRISIS/VIOLATION with regulatory framework mapping. Open →
Exhibit / Filing Pack Regulator-ready external validation — NAIC Exhibit D, Fannie QC, EU FRIA, FDA Part 11. Open →
Mandate Registry Enroll deployers/insureds under vertical-specific governance mandate. Open →
Bind / Action Gate ALLOW/BLOCK before consequential action — bind policy, sell loan, deactivate worker. Open →
Compliance Certificate Deployer-facing downloadable cert — forward to counsel, auditor, regulator. Open →
Actuarial / Risk Feed Anonymized asymmetry signals for pricing, reserving, reinsurance correlation. Open →
Run model_collapse demo Regulatory calendar Download exhibit pack Verify independently