Amends the Social Security Act to require behavioral health information disclosure, including provider access, wait times, payment statistics, and denial data. Specifies AI and technology use in denial processes. Aims to enhance transparency and informed choice in behavioral health coverage.
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 minimal coverage of 2-3 subdomains, with focus on AI system transparency (7.4) and potential discrimination risks (1.1, 1.3). Coverage is concentrated in system safety and fairness domains, specifically addressing transparency requirements for AI use in healthcare denial processes.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs the Health Care and Social Assistance sector, specifically Medicare Advantage organizations and behavioral health providers. It also has implications for the Finance and Insurance sector through health insurance plan requirements.
Hard Law
Legislative Status Summary
This is a binding legislative amendment to the Social Security Act with mandatory disclosure requirements enforced through federal regulatory authority.
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 addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on transparency requirements for AI systems already in use for healthcare denial decisions. It does not cover earlier stages like planning, data collection, or model development.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI technology, machine-learning technology, and decision support technology in the context of healthcare denial processes. It does not define specific AI categories like frontier AI, general purpose AI, or foundation models, but focuses on AI systems used for clinical decision-making.
Document data from AGORA, CSET Emerging Technology Observatory.