Massachusetts Bill H.64

• Authority: Massachusetts
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Proposed
• Most recent activity date: 2023-01-19

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Governance failure
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Compromise of privacy
• AI system security vulnerabilities
• Overreliance and unsafe use
• Loss of human agency and autonomy
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal to good coverage of approximately 8-10 subdomains, with strongest focus on unfair discrimination (1.1), unequal performance (1.3), governance failure (6.5), and lack of transparency (7.4). Coverage is concentrated in discrimination/bias risks, governance structures, and AI system limitations, reflecting the commission's mandate to study automated decision systems and their impacts on human welfare.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Health Care & Social Assistance
• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration excluding National Security, as it establishes oversight of automated decision systems used by Massachusetts government agencies. It also has good coverage of Health Care and Social Assistance, and National Security sectors through explicit inclusion of relevant agencies and departments in the commission structure.

Legislative Status

Hard Law

Legislative Status Summary

This is a legislative bill that establishes a commission with mandatory requirements, including specific composition, meeting frequency, reporting obligations, and timelines. The language uses binding terms like 'shall' throughout to create legal obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is a legislative bill (H.64) being proposed to the Massachusetts General Laws, indicating it was proposed by members of the Massachusetts Legislature, though specific sponsors are not named in the document text provided.

Target

• Entity Types: AI_Governance_Actor
• Summary: The bill targets government entities within Massachusetts that use automated decision systems. The definition section explicitly defines 'Commonwealth of Massachusetts or Massachusetts office' as the entities whose AI use will be studied and potentially regulated.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The commission is established within the executive office of technology services and security, with the secretary serving as chair. The commission reports to the governor and legislature, who would be responsible for acting on recommendations and enforcing any subsequent regulations.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The bill establishes a commission specifically tasked with monitoring, studying, and evaluating the use of automated decision systems by Massachusetts government offices. The commission has extensive monitoring responsibilities including surveys, consultations, examinations, and annual reporting.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Deploy and Operate and Monitor stages. It addresses validation/testing (Verify and Validate), procurement and implementation (Deploy), and ongoing evaluation and monitoring (Operate and Monitor). The document also touches on Plan and Design through examination of procurement policies and principles.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document explicitly mentions automated decision systems, algorithms, and artificial intelligence. It does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on automated decision systems broadly defined.