tech_data · EU AI Act Article 10 · FTC AI guidance · METI AI Guidelines
Model Collapse / Verified Data
Model collapse from synthetic data — prove training data provenance or copyright defeat
—METI AI Guidelines 2024 + APPI
Regulatory exposure — commonly overlooked:
Model trained on AI-generated data — vendor owns collapse risk, deployer owns downstream harm. · Japan soft-law approach hardening — FSA now expects bank AI documentation like BaFin.
TAM / Exposure
Foundation model training · copyright litigation $10B+ exposure
Insurance lines
IP defense · E&O · D&O
Exhibit authority
Japan METI AI Pack — Training Data Provenance + Collapse Detection Pack
Global leaders
OpenAI · Anthropic · EU Commission · NYT v OpenAI · Authors Guild · METI · SoftBank · Toyota
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.
[Japan] Aging society
Japan healthcare AI urgency — receipt for elder care and nursing decisions.
[Japan] Automotive
Toyota/Honda AV — NHTSA equivalent documentation for JAMA standards.
[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 →