AI Compliance for Insurance

Insurance carriers and insurtech firms using AI in underwriting, claims processing, fraud detection, and pricing decisions.

Insurance is the most heavily AI-regulated sector in US financial services: as of 2026 more than 20 states plus the District of Columbia have adopted the NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers (adopted December 2023), and Colorado enforces the first binding, insurance-specific AI governance rule — Regulation 10-1-1 — layered on top of the cross-sector state AI acts.

Sector-specific AI regulations

Last verified: 2026-07-05

Applicable laws

Interactive tools

Recommended frameworks

Frequently asked questions

What AI compliance rules apply to insurance carriers in the US?

Insurers face three overlapping layers: (1) the NAIC Model Bulletin on the Use of AI Systems by Insurers, adopted by more than 20 states plus DC, which requires a written AI Systems Program; (2) binding state insurance regulations such as Colorado Regulation 10-1-1 (unfair-discrimination testing for ECDIS and predictive models); and (3) cross-sector state AI acts — for example the Colorado AI Act (SB 24-205) — that treat insurance underwriting as a consequential decision. Carriers should map each AI use case against all three layers rather than only the general state AI acts.

How is AI regulated in insurance claims handling and underwriting?

Underwriting and claims decisions that rely on external consumer data and predictive models fall squarely inside the NAIC Model Bulletin’s AI Systems Program expectations and, in Colorado, inside Regulation 10-1-1’s governance, documentation, and unfair-discrimination-testing duties. State insurance regulators increasingly expect explainability and bias testing for AI used in rate-setting, eligibility, and claims triage, coordinated with the department of insurance rather than only a general attorney-general AI regime.

Which framework should insurers adopt for AI risk compliance?

The NAIC Model Bulletin points insurers toward recognized AI risk-management frameworks. The NIST AI Risk Management Framework (AI RMF 1.0) and ISO/IEC 42001:2023 are the two most widely referenced: NIST AI RMF supplies the govern-map-measure-manage functions that satisfy the bulletin’s written-program expectation, and ISO/IEC 42001 offers a certifiable AI management system for carriers operating across multiple states.

Last reviewed 2026-07-05. Reviewed by the AI Compliance Atlas editorial process against primary sources. Source selection, retrieval dates, and update rules are documented in the Atlas methodology.

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