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Bill

S 429

Private Providers

2025-2026 Regular Session Introduced by Brad Hutto

Creates a MA AI in Education Commission to study AI/ADS in K–12, assess uses, data practices, bias, and produce recommendations for safe, transparent, equitable oversight.

Referred to Committee on Education
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Bill Summary · S 429

Summary — S.429 (2025): Commission to Investigate AI in Education

Status & procedural history (selected)
- Introduced in the Massachusetts Senate (docket No. 1926) by Sen. Jacob R. Oliveira; filed 1/17/2025 and introduced 2/05/2025.
- Read twice and referred to Committee on Finance (2/05/2025); also referred to the Committee on Education (2/27/2025).
- Advanced to third reading (2/10/2025) and passed the Senate (5/13/2025). Delivered to the House/Assembly and referred to Governmental Operations (5/13/2025).
- A public hearing was scheduled for 11/12/2025.

Note on metadata: some header lines and sponsor lists in the provided materials appear inconsistent or unrelated (different bill titles and out-of-state federal sponsors). This summary is based on the bill text, which creates a state-level commission on AI in education.

Purpose
- Establish a statutory commission (within the Executive Office of Education) to study current and potential uses of artificial intelligence in Massachusetts schools and to develop recommendations for safe, equitable, transparent, and accountable use of AI and automated decision systems (ADS) in education.

Key provisions
1. New chapter: Chapter 69A — “Artificial Intelligence in Education” (definitions)
- Defines terms such as “school systems” (public and private), “generative AI” (e.g., chatbots like ChatGPT), and “automated decision systems” (systems used for scheduling, grading, routing, budgeting, lesson planning, etc.).

  1. Commission duties

    • Conduct a comprehensive survey of all uses of ADS and generative AI across Massachusetts school systems and the purposes of such systems.
    • Review school policies, procurement practices, training provided to staff and students, validation/testing procedures, transparency, auditability, and accountability.
    • Examine data practices: sources, sharing agreements, security, and compliance with data protection laws.
    • Assess impacts on civil rights and disparate outcomes; consult experts in machine learning, algorithmic bias, auditing, and civil/human rights.
    • Survey technical, legal, and policy controls (best practices, laws, guidance from other jurisdictions and federal materials such as the U.S. Department of Education guidance and the White House AI Bill of Rights).
    • Examine intellectual property issues (plagiarism, student work), due process for individuals affected by ADS, and educational policy for inappropriate student use of generative AI.
    • Consider potential technical measures such as mandatory watermarking of AI-generated content and policies to ensure equitable access and use across districts.

  2. Commission membership (partial / truncated in text)

    • Chair: Secretary of Education (or designee).
    • Includes legislative leaders or designees, chairs of relevant joint committees (education, higher education, advanced information technology/cybersecurity), Attorney General (or designee), Commissioner of DCF (or designee), leaders from teacher unions, and other stakeholders (text truncated; bill appears to include additional stakeholders and expert appointees).

What the bill would affect
- Public and private K–12 school systems and governing bodies in Massachusetts.
- Students, teachers, administrators, district procurement and IT staff.
- Vendors and third-party providers of AI/ADS used in education.
- Policymakers and oversight bodies who would receive the commission’s recommendations.

Missing/unclear elements in the bill text
- No explicit timeline or statutory deadline for the commission’s final report is included in the provided excerpt.
- No dedicated funding or staffing appropriation is specified in the excerpt.
- The full membership list and any reporting requirements or enforcement mechanisms are truncated in the provided text.

Potential impacts
- Could produce model policies for procurement, auditing, training, student protections, and data privacy for AI in schools.
- May lead to legislative or regulatory proposals to increase transparency, require testing/auditing of ADS, protect student data, and address equity/bias concerns.
- Implementation effects would depend on subsequent legislative action, budget support, and administrative follow-through on the commission’s recommendations.

Compiled from official sources — confirm details with the bill’s official record.

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