Massachusetts is negotiating AI-safety and transparency provisions for its Mass Wins economic-development bill, at the request of Gov. Maura Healey. The proposal would require independent evaluators to test powerful AI models for catastrophic-risk potential at least three times annually, with technology companies paying evaluation costs. Proposed penalties are up to $1 million for a first violation and $3 million for subsequent violations; as of October 2026, the language remained under discussion and could change before passage.[1]
Repeated external testing would establish continuous assurance rather than a one-time certification. For lunar habitation, the model applies directly to AI controlling power, thermal regulation, mining, medical response, navigation, communications, and archival systems: capabilities can change through new model releases, tool access, fine-tuning, or deployment context. Independent evaluators could identify escalation, deception, cyber, resource-control, or unsafe-autonomy pathways before they reach mission-critical infrastructure. The proposal also recognizes evaluator independence as a governance problem, since companies would fund an emerging audit industry.[1]
The Ark team should design an AI assurance standard requiring independent testing at least quarterly for every frontier model connected to habitat operations, with tests repeated after material updates or expanded permissions. Establish evaluator-rotation rules, conflict-of-interest controls, sealed test environments, reproducible incident records, and automatic isolation on failed tests. Monitor the final Massachusetts bill, its definitions of powerful models and catastrophic risk, enforcement thresholds, and whether other jurisdictions adopt comparable requirements.[1]