Regulate generative AI models to protect safety, privacy, and IP rights. Define models as those with ≥1 billion parameters. Prohibit discriminatory AI use. Mandate AI text watermarks/authentication. Require data security, informed consent, and timely data deletion. Conduct regular risk assessments. Mandate registration with the attorney general, detailing practices. Authorize attorney general to enforce compliance.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a binding legislative bill with mandatory requirements, enforcement mechanisms through the attorney general, and legal penalties for non-compliance under chapter 93A.
The document has good coverage of approximately 8-9 subdomains, with strong focus on discrimination (1.1), privacy compromise (2.1), security vulnerabilities (2.2), disinformation/surveillance (4.1), fraud/manipulation (4.3), lack of robustness (7.3), and lack of transparency (7.4). Coverage is concentrated in discrimination, privacy/security, malicious use prevention, and AI system reliability domains.
This bill governs AI developers across all sectors by regulating companies operating large-scale generative AI models. The regulation is sector-agnostic and applies to any company meeting the technical threshold (≥1 billion parameters), regardless of industry. The primary sector directly governed is Information (AI model developers), but the requirements apply to any organization operating such models.
The document covers multiple lifecycle stages with primary focus on Build and Use Model (through design and development requirements), Deploy (through registration requirements), and Operate and Monitor (through ongoing risk assessments and compliance obligations). It also addresses data collection and processing requirements.
The document explicitly defines and covers large-scale generative AI models with at least one billion parameters. It specifically mentions ChatGPT as an example. It does not distinguish between frontier AI, general purpose AI, or task-specific AI, nor does it mention foundation models, predictive AI, open-weight models, or specific compute thresholds beyond the parameter count.
Massachusetts Legislature
This is a Massachusetts state bill (S.31) proposed through the legislative process, as indicated by the bill number and structure following Massachusetts General Laws format.
Massachusetts Attorney General
The Attorney General is explicitly designated as the enforcement authority with power to adopt regulations and bring enforcement actions.
Massachusetts Attorney General
The Attorney General is responsible for maintaining a public registry of registered companies and monitoring compliance through the registration system.
The bill explicitly targets companies that operate large-scale generative AI models with at least one billion parameters, which are AI developers/providers.
8 subdomains (2 Good, 6 Minimal)