An audit-defensible calibration credential under NAIC Bulletin 30.
The NAIC Model Bulletin on the Use of AI Systems by Insurers (December 2023) requires governance, testing, monitoring, and validation procedures for AI-driven decision systems. The Bulletin is silent on which specific calibration metric qualifies as adequate validation for catastrophe-model AI systems. That gap is filled today by vendor attestation — which is unverifiable by your office and unauditable in a rate-filing record.
What we built into the methodology for your office
Atlantic basin tropical cyclone for FL/NC/SC/LA/TX. California wildfire for CA. Pacific basin for HI. European windstorm for international filings that reinsure your domiciliaries. Eight canonical classes total in methodology v1.0 §3.
NOAA IBTrACS, CAL FIRE, USGS ANSS, NOAA SPC, USDA NASS, PERILS Industry Loss Index. You can verify Brier scores against the same datasets you already accept as authoritative.
Methodology §4 specifies a sealed annual exceedance-probability snapshot that you can require from any vendor used in a rate filing — scored at end of policy year via our open scoring infrastructure. Vendors retain commercial confidentiality during the policy year; calibration credibility is established at year-end.
|p − 0.5| > 0.20 for headline metrics. Hedging to the center is not rewarded. The full unconvinced set is preserved in audit and disclosed in the slice tuple.
What we are asking your office to consider
- Cite Forecast Registry methodology v1.0 in your next NAIC Bulletin 30 implementation guidance, AI-disclosure template, or rate-filing review checklist as one acceptable form of model-validation credential.
- Adopt the sealed annual exceedance-probability snapshot pattern (methodology §4) for vendor cat models used in domestic rate filings.
- Participate in the 60-day public comment period on methodology v1.0 — your office's input directly shapes the standards-board version of v1.1.
What we are not asking
- We are not asking you to ban vendor models.
- We are not asking you to mandate use of any specific contributing forecaster, including our reference forecaster.
- We are not asking for a paid relationship. Free to regulators is a structural commitment.
Reference forecaster track record
Founding contributor's reference forecaster (Chorus Public Ledger) currently logs 1,963 SHA-locked predictions, 82 resolved, mean Brier 0.0399 on the 18-entry high-conviction in-headline forward subset (FiveThirtyEight state-level-call tier).
Per-peril retrodictive backfill is complete for the Atlantic basin: n=20 records (CSU April issuances 2020–2024 vs IBTrACS v04r01 realized), mean Brier 0.2002, BSS +0.199 vs climatology. The IBTrACS resolution dataset SHA-256 and the per-record breakdown are on the ratings page. Backfills for the other seven peril classes are scoped in the data-acquisition plan with explicit engineering and access-cost detail.
Verified counterpart leadership (as of 2026-06-05)
- NAIC Big Data and Artificial Intelligence (H) Working Group: 2026 Chair Nathan Houdek (Wisconsin Insurance Commissioner); Co-Vice Chairs Doug Ommen (Iowa) and Mary Block (Vermont).
- NAIC Innovation, Cybersecurity, and Technology (H) Committee: 2026 Chair Michael Yaworsky (Florida OIR Commissioner).
- Florida Office of Insurance Regulation: Commissioner Michael Yaworsky (appointed March 13, 2023).
- California Department of Insurance: Commissioner Ricardo Lara (term concludes January 2027 following November 2026 election).
- Citizens Property Insurance Corporation (FL): President / CEO / Executive Director Timothy M. Cerio (appointed January 2023).
- Florida Hurricane Catastrophe Fund (State Board of Administration): Chief Operating Officer Gina Wilson.
Contact
Addie Conner, founding contributor. hello@forecast-registry.org (provisional). Methodology comments: comments@forecast-registry.org.
Last reviewed: 2026-06-05. Counterpart names verified against NAIC committee announcements, FLOIR commissioner profile, Citizens Property Insurance Corporation board page, and FHCF team page on review date.