Get Full Government Meeting Transcripts, Videos, & Alerts Forever!
Experts and industry groups debate Massachusetts proposals for model audits, trust fund and high‑risk AI rules
Summary
Testimony covered multiple bills — including S37 (AI trust fund and model governance), H94 (rules for high‑risk systems), and S46/H97 (healthcare/insurer safeguards). Witnesses urged standards based on NIST/FDA guidance, warned about overbroad definitions and asked for carefully drafted carve‑outs and sandboxing to protect innovation.
State and industry witnesses — including engineers, insurers, legal experts and trade groups — addressed a set of bills that would set state standards for AI model training, auditing, risk management and use in healthcare and insurance.
Supporters urged clear requirements for security, model documentation, independent audits, human review and alignment with federal guidance. Opponents and industry groups warned that overly broad definitions could sweep in longstanding predictive tools and discourage startups, and they urged sector‑specific approaches and safe‑harbor mechanisms.
Senator testimony introduced S37 and related proposals, describing a framework for model governance that would require annual safety assessments, public…
Already have an account? Log in
Subscribe to keep reading
Unlock the rest of this article — and every article on Citizen Portal.
- Unlimited articles
- AI-powered breakdowns of topics, speakers, decisions, and budgets
- Instant alerts when your location has a new meeting
- Follow topics and more locations
- 1,000 AI Insights / month, plus AI Chat
