tech_data · EU AI Act Article 10 · FTC AI guidance · CPRA
Model Collapse / Verified Data
Model collapse from synthetic data — prove training data provenance or copyright defeat
—CPRA automated decision-making + AB 5 spillover
Regulatory exposure — commonly overlooked:
Model trained on AI-generated data — vendor owns collapse risk, deployer owns downstream harm. · CPRA ADM opt-out requires proof of what automated system decided — receipt is opt-out infrastructure.
TAM / Exposure
Foundation model training · copyright litigation $10B+ exposure
Insurance lines
IP defense · E&O · D&O
Exhibit authority
California CPRA ADM Pack — Training Data Provenance + Collapse Detection Pack
Global leaders
OpenAI · Anthropic · EU Commission · NYT v OpenAI · Authors Guild · CPPA · CA AG · Silicon Valley insurers
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.
[California] Trial bar capital
California plaintiffs bar most aggressive on AI — independent verify changes settlement calculus.
[California] Tech HQ effect
Every global platform's AI policy tested first in California courts.
[Text / Chat] Modality hook
Baseline — all frameworks apply to text decisions.
7 mandate layers (live)
Regulatory ClockCountdown to operative regulatory deadline — NAIC adoption, GSE mandate, EU transposition.Open →
Domain ClassifierIndustry-specific SAFE/CRISIS/VIOLATION with regulatory framework mapping.Open →
Exhibit / Filing PackRegulator-ready external validation — NAIC Exhibit D, Fannie QC, EU FRIA, FDA Part 11.Open →
Mandate RegistryEnroll deployers/insureds under vertical-specific governance mandate.Open →