Prohibits insurers from using specific personal factors, including gender and credit score, to determine car insurance rates. Requires submission to FTC to ensure no disparate impacts from algorithms. Mandates public access to underwriting rules.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 3-4 subdomains, with strong focus on unfair discrimination (1.1), unequal performance across groups (1.3), and governance failure (6.5). The document addresses algorithmic fairness and disparate impact prevention in the insurance sector.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
The document exclusively governs the Finance and Insurance sector, specifically private passenger automobile insurance companies and their affiliates. It regulates algorithmic decision-making in insurance underwriting, rating, and claims handling.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory requirements, enforcement mechanisms through the FTC, and explicit prohibitions with legal consequences for violations.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily covers the Deploy and Operate and Monitor stages, with implicit coverage of Build and Use Model through requirements for algorithmic fairness. It focuses on operational use of AI systems in insurance rather than development stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions algorithms and models used in insurance operations but does not use specific AI terminology like 'AI systems', 'AI models', or reference frontier AI, general purpose AI, or compute thresholds. The focus is on algorithmic decision-making in insurance contexts.
Document data from AGORA, CSET Emerging Technology Observatory.