AI Laws in Massachusetts (MA)
Massachusetts has not enacted a comprehensive AI law: a bill barring discriminatory automated decision systems in employment and other areas (SD.3007) remains in committee, and the state currently relies on Attorney General Campbell's April 2024 advisory that existing anti-discrimination and consumer-protection laws already apply to AI.
What companies in Massachusetts need to know about AI compliance
Massachusetts remains in the "no dedicated AI law" cohort as of 2026-07-02 — massachusetts legislature has not advanced substantive ai legislation. Operators across sectors in Massachusetts watch federal signals first.
Federal law still governs Cross-Sector AI in Massachusetts primarily through FTC Section 5 (15 USC 45) and NIST AI RMF 1.0. Adjacent federal authorities include Gramm-Leach-Bliley Act (GLBA) / NIST Cybersecurity Framework (15 U.S.C. § 6801-6809; NIST CSF 2.0); General Data Protection Regulation (GDPR) (for EU users) (EU Regulation 2016/679); Section 508 / ADA Title III (Digital Accessibility) (29 U.S.C. § 794(d); 42 U.S.C. § 12181). Gramm-Leach-Bliley Act (GLBA) / NIST Cybersecurity Framework (enforced by Federal Trade Commission; NIST) applies to saas platforms handling personal/financial data via ai must implement nist csf security standards: identify, protect, detect, respond, recover. Penalty exposure: ftc civil penalties up to $100,000/violation; private litigation for data breaches. FTC Operation AI Comply (Sep 2024) targeted five companies across sectors.
Massachusetts's immediate neighbors also lack AI-specific statutes, so operators defer primarily to federal frameworks until regional precedent emerges.
Because Massachusetts has no dedicated AI statute, regulatory obligations fall back to general consumer-protection statute (UDAP) and federal residual coverage layered with federal sector-specific rules.
The federal and neighboring-state framework that governs your AI operations. Cross-Sector operators in Massachusetts operate under a federal-dominant framework anchored by FTC Section 5 (15 USC 45) and NIST AI RMF 1.0, with adjacent authorities Gramm-Leach-Bliley Act (GLBA) / NIST Cybersecurity Framework (15 U.S.C. § 6801-6809; NIST CSF 2.0); General Data Protection Regulation (GDPR) (for EU users) (EU Regulation 2016/679); Section 508 / ADA Title III (Digital Accessibility) (29 U.S.C. § 794(d); 42 U.S.C. § 12181). FTC Operation AI Comply (Sep 2024) targeted five companies across sectors. The practical risk they have to price in is cross-sector FTC Section 5 exposure and state UDAP liability, and the bellwether signal to monitor is NIST AI RMF 1.0 (Jan 2023) is cited as the federal baseline across 30+ agency guidance documents. No regional statute applies yet. Massachusetts legislature has not advanced substantive AI legislation. Use this as a starting point; sector pages on this site go deeper into industry-specific obligations.
The enforcement surface for Cross-Sector centres on FTC, CFPB, State Attorneys General, and the statute operators most often under-document is General Data Protection Regulation (GDPR) (for EU users) (EU Regulation 2016/679) — a gap that surfaces in cross-sector FTC Section 5 exposure disputes. Build an evidence binder covering AI inventory, risk-tier register, incident-response runbook, and board-level AI risk report. Treat NIST AI RMF 1.0 (Jan 2023) is cited as the federal baseline across 30+ agency guidance documents as your leading indicator and escalate when the signal shifts.
With 11-50 employees you can justify a half-time compliance lead and part-time external counsel on retainer. Small-stage Cross-Sector operators should deploy a named compliance lead, formal AI inventory, quarterly bias spot-checks, and a documented escalation path, with semi-annual internal audit with annual external review and ownership resting with a designated AI compliance lead reporting to the CEO. small-business budgets ($50K-$250K) justify a compliance lead plus a GRC tool such as Credo AI, Fairly, or Holistic AI. For Cross-Sector specifically, the sharpest exposure to manage is cross-sector FTC Section 5 exposure and state UDAP liability. Given Massachusetts's concentration in its principal industries, core regulated activities deserve priority in your AI inventory.
Verified 2026-07-02. See https://malegislature.gov/Bills/194/SD3007 for the Massachusetts Attorney General public record on Massachusetts AI policy.
No state AI law — but this federal framework still applies in Massachusetts
Massachusetts has not enacted its own AI-specific statute. That does not mean AI is unregulated here: the U.S. federal framework below is in force in Massachusetts exactly as it is in every other state. Each authority links to its official government source. This is the cross-sector baseline — see the federal AI tracker for bills moving through Congress, and the industry pages below for sector-specific obligations.
Prohibits unfair or deceptive acts or practices in or affecting commerce. AI-generated marketing content that deceives consumers — synthetic testimonials, undisclosed AI-created imagery, deceptive personalization, dark patterns amplified by AI — is actionable under Section 5.
AI hiring and performance monitoring systems must accommodate individuals with disabilities. Must not eliminate essential job functions or require unnecessary testing.
AI credit and background check systems used in rental decisions must be transparent and non-discriminatory.
Voluntary framework organizing AI risk into Govern, Map, Measure, and Manage functions. A manufacturing-focused profile is under development. Framework is referenced in federal-contractor expectations and in agency best-practice guidance.
Recent AI law developments in Massachusetts
Updated August 23, 2026Recent news coverage of AI regulation and policy in Massachusetts. Headlines are aggregated automatically; follow each link for the full story.
Coverage from PYMNTS.com on AI legislation and regulation relevant to Massachusetts.
Coverage from WWLP on AI legislation and regulation relevant to Massachusetts.
Coverage from NPR on AI legislation and regulation relevant to Massachusetts.
Coverage from Cape Cod Times on AI legislation and regulation relevant to Massachusetts.
Coverage from Politico on AI legislation and regulation relevant to Massachusetts.
AI bills moving through the Massachusetts legislature
Updated September 22, 2026AI-related bills currently tracked in the Massachusetts legislature, updated automatically from Open States and the state legislature's own official record. Follow each link for the official bill text, sponsors, and status history.
Senate, October 16, 2025 -- The committee on Advanced Information Technology, the Internet and Cybersecurity to whom was referred the petition (accompanied by bill, Senate, No. 46) of Michael O. Moore and James B. Eldridge for legislation relative to the use of artificial intelligence and other software tools in hea…
Committee recommended ought to pass and referred to the committee on Senate Ways and Means
Accompanied a new draft, see S2983
Bill reported favorably by committee and referred to the committee on House Ways and Means
By Ms. Friedman, a petition (accompanied by bill, Senate, No. 994) of Cindy F. Friedman and Julian Cyr for legislation to prohibit algorithmic rent setting. Housing.
Accompanied a new draft, see S2983
Senate, March 12, 2026 -- The committee on Housing, to whom was referred the petitions (accompanied by bill, Senate, No. 994) of Cindy F. Friedman and Julian Cyr for legislation to prohibit algorithmic rent setting; and (accompanied by bill, Senate, No. 1016) of Michael O. Moore, Patricia D. Jehlen and James B. Eldr…
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
Accompanied a new draft, see H5222
By Representative Rogers of Cambridge, a petition (accompanied by bill, House, No. 495) of David M. Rogers relative to reducing emissions from artificial intelligence. Economic Development and Emerging Technologies.
Accompanied a study order, see H5178
By Representative Howitt of Seekonk, a petition (accompanied by bill, House, No. 81) of Steven S. Howitt relative to artificial intelligence disclosures. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a study order, see H5073
By Representative Livingstone of Boston, a petition (accompanied by bill, House, No. 90) of Jay D. Livingstone relative to provenance regarding artificial intelligence. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a study order, see H5073
Read; and referred to the committee on Senate Ways and Means
By Representative Jones of North Reading, a petition (accompanied by bill, House, No. 846) of Bradley H. Jones, Jr., and others relative to disclosure requirements for synthetic media in political advertising. Election Laws.
New draft substituted, see H5094
By Representative Jones of North Reading, a petition (accompanied by bill, House, No. 1210) of Bradley H. Jones, Jr., and others relative to artificial intelligence health communications and informed patient consent. Financial Services.
Accompanied a study order, see H5066
By Representative Jones of North Reading, a petition (accompanied by bill, House, No. 614) of Bradley H. Jones, Jr., and others relative to issuing guidance regarding setting policies for the use of AI in schools. Education.
Reporting date extended to Wednesday, March 18, 2026
Read second and ordered to a third reading
By Representative Jones of North Reading, a petition (accompanied by bill, House, No. 83) of Bradley H. Jones, Jr., and others for an investigation and study by a special legislative commission (including members of the General Court) to study load growth due to AI and data centers. Advanced Information Technology, …
Discharged to the committee on House Rules
By Mr. Barrett, a petition (accompanied by bill, Senate, No. 187) of Michael J. Barrett for legislation to protect biometric information under the security breach law. Consumer Protection and Professional Licensure.
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
By Representatives Rogers of Cambridge and Vargas of Haverhill, a petition (accompanied by bill, House, No. 97) of David M. Rogers and Andres X. Vargas relative to consumers interactions with artificial intelligence systems. Advanced Information Technology, the Internet and Cybersecurity.
Bill reported favorably by committee and referred to the committee on House Ways and Means
Accompanied a new draft, see H4832
By Representative Farley-Bouvier of Pittsfield, a petition (accompanied by bill, House, No. 77) of Tricia Farley-Bouvier and others for legislation to regulate the use of artificial intelligence. Advanced Information Technology, the Internet and Cybersecurity.
Bill reported favorably by committee and referred to the committee on House Ways and Means
By Representative Paulino of Methuen, a petition (accompanied by bill, House, No. 94) of Francisco E. Paulino for legislation to ensure accountability and transparency in artificial intelligence systems. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied H97
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 264) of Mark C. Montigny for legislation to protect consumers interacting with artificial intelligence chatbots. Consumer Protection and Professional Licensure.
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
Referred to the committee on House Rules
By Mr. Oliveira, a petition (accompanied by bill, Senate, No. 429) of Jacob R. Oliveira for legislation to establish a commission to investigate AI in education. Education.
Accompanied a study order, see S2792
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 1731) of Mark C. Montigny for legislation to promote transparency of facial recognition and driver's license photos. Public Safety and Homeland Security.
Accompanied a study order, see S2798
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 243) of Barry R. Finegold for legislation to require consumer notification for software or computer program that simulates human conversation or chatter through text or voice interactions. Consumer Protection and Professional Licensure.
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
By Representatives Rogers of Cambridge and Vargas of Haverhill, a petition (accompanied by bill, House, No. 96) of David M. Rogers and Andres X. Vargas relative to the use of biometric recognition technology. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a new draft, see H4746
Bill reported favorably by committee and referred to the committee on House Ways and Means
By Representatives Ramos of Springfield and Rogers of Cambridge, a petition (accompanied by bill, House, No. 1946) of Orlando Ramos, Steven Owens and others for legislation to implement the recommendations of the special commission on facial recognition technology. The Judiciary.
Accompanied a new draft, see H4640
By Ms. Creem, a petition (accompanied by bill, Senate, No. 1053) of Cynthia Stone Creem, Joanne M. Comerford, Rebecca L. Rausch, Michael J. Barrett and others for legislation to implement the recommendations of the special commission on facial recognition technology. The Judiciary.
Hearing scheduled for 07/15/2025 from 01:00 PM-08:00 PM in A-2
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
Senate, October 16, 2025 -- The committee on Advanced Information Technology, the Internet and Cybersecurity to whom was referred the petition (accompanied by bill, Senate, No. 37) of Barry R. Finegold for legislation to promote economic development with emerging artificial intelligence models and safety, report the…
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
Accompanied a new draft, see S2633
By Mr. Moore, a petition (accompanied by bill, Senate, No. 46) of Michael O. Moore and James B. Eldridge for legislation relative to the use of artificial intelligence and other software tools in healthcare decision-making. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a new draft, see S2632
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 37) of Barry R. Finegold for legislation to promote economic development with emerging artificial intelligence models and safety. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a new draft, see S2630
By Mr. Fernandes, a petition (accompanied by bill, Senate, No. 35) of Dylan A. Fernandes and Michael D. Brady for legislation to promote employee physical and mental health and wellbeing by limiting the use of electronic monitoring tools. Advanced Information Technology, the Internet and Cybersecurity.
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
Senate, October 16, 2025 -- The committee on Advanced Information Technology, the Internet and Cybersecurity to whom was referred the petition (accompanied by bill, Senate, No. 48) of Michael O. Moore for legislation relative to AI-generated child sexual abuse material, report the accompanying bill (Senate, No. 2633).
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
By Ms. Miranda, a petition (accompanied by bill) (subject to Joint Rule 12) of Liz Miranda for legislation to ensure non-discrimination by improving algorithmic system. Advanced Information Technology, the Internet and Cybersecurity.
Referred to the committee on Advanced Information Technology, the Internet and Cybersecurity
By Representative Vargas of Haverhill, a petition (subject to Joint Rule 12) of Andres X. Vargas relative to non-discrimination by improving algorithmic systems. The Judiciary.
Referred to the committee on House Rules
Placed on file
Report of the Executive Office of Public Safety and Security (pursuant to Section 220 of Chapter 6 of the General Laws) submitting its Facial Recognition 2024 annual report
Placed on file
Bill reported favorably by committee as changed and referred to the committee on Senate Ways and Means
By Mr. Moore, a petition (accompanied by bill, Senate, No. 49) of Michael O. Moore and James B. Eldridge for legislation to implement annual statewide public employee cybersecurity training. Advanced Information Technology, the Internet and Cybersecurity.
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
By Mr. Fernandes, a petition (accompanied by bill, Senate, No. 36) of Dylan A. Fernandes for legislation to protect residents from abusive use of their biometric information. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied S43
By Mr. Moore, a petition (accompanied by bill, Senate, No. 49) of Michael O. Moore and James B. Eldridge for legislation to implement annual statewide public employee cybersecurity training. Advanced Information Technology, the Internet and Cybersecurity.
Referred to the committee on Advanced Information Technology, the Internet and Cybersecurity
By Mr. Moore, a petition (accompanied by bill, Senate, No. 46) of Michael O. Moore and James B. Eldridge for legislation relative to the use of artificial intelligence and other software tools in healthcare decision-making. Advanced Information Technology, the Internet and Cybersecurity.
Referred to the committee on Advanced Information Technology, the Internet and Cybersecurity
Referred to the committee on Advanced Information Technology, the Internet and Cybersecurity
Referred to the committee on Advanced Information Technology, the Internet and Cybersecurity
Referred to the committee on Advanced Information Technology, the Internet and Cybersecurity
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 243) of Barry R. Finegold for legislation to require consumer notification for software or computer program that simulates human conversation or chatter through text or voice interactions. Consumer Protection and Professional Licensure.
House concurred
By Representative Livingstone of Boston, a petition (accompanied by bill, House, No. 90) of Jay D. Livingstone relative to provenance regarding artificial intelligence. Advanced Information Technology, the Internet and Cybersecurity.
Senate concurred
By Representative Jones of North Reading, a petition (accompanied by bill, House, No. 83) of Bradley H. Jones, Jr. and others for an investigation and study by a special legislative commission (including members of the General Court) to study load growth due to AI and data centers. Advanced Information Technology, t…
Senate concurred
By Representatives Rogers of Cambridge and Vargas of Haverhill, a petition (accompanied by bill, House, No. 96) of David M. Rogers and Andres X. Vargas relative to the use of biometric recognition technology. Advanced Information Technology, the Internet and Cybersecurity.
Senate concurred
By Representative Jones of North Reading, a petition (accompanied by bill, House, No. 614) of Bradley H. Jones, Jr. and others relative to issuing guidance regarding setting policies for the use of AI in schools. Education.
Senate concurred
Senate concurred
By Representatives Rogers of Cambridge and Vargas of Haverhill, a petition (accompanied by bill, House, No. 97) of David M. Rogers and Andres X. Vargas relative to consumers interactions with artificial intelligence systems. Advanced Information Technology, the Internet and Cybersecurity.
Senate concurred
By Representative Rogers of Cambridge, a petition (accompanied by bill, House, No. 495) of David M. Rogers relative to reducing emissions from artificial intelligence. Economic Development and Emerging Technologies.
Senate concurred
House concurred
By Mr. Fernandes, a petition (accompanied by bill, Senate, No. 36) of Dylan A. Fernandes for legislation to protect residents from abusive use of their biometric information. Advanced Information Technology, the Internet and Cybersecurity.
House concurred
By Mr. Barrett, a petition (accompanied by bill, Senate, No. 187) of Michael J. Barrett for legislation to protect biometric information under the security breach law. Consumer Protection and Professional Licensure.
House concurred
By Ms. Friedman, a petition (accompanied by bill, Senate, No. 994) of Cindy F. Friedman and Julian Cyr for legislation to prohibit algorithmic rent setting. Housing.
House concurred
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 37) of Barry R. Finegold for legislation to promote economic development with emerging artificial intelligence models and safety. Advanced Information Technology, the Internet and Cybersecurity.
House concurred
By Mr. Oliveira, a petition (accompanied by bill, Senate, No. 429) of Jacob R. Oliveira for legislation to establish a commission to investigate AI in education. Education.
House concurred
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 1731) of Mark C. Montigny for legislation to promote transparency of facial recognition and driver's license photos. Public Safety and Homeland Security.
House concurred
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 264) of Mark C. Montigny for legislation to protect consumers interacting with artificial intelligence chatbots. Consumer Protection and Professional Licensure.
House concurred
By Mr. Fernandes, a petition (accompanied by bill, Senate, No. 35) of Dylan A. Fernandes and Michael D. Brady for legislation to promote employee physical and mental health and wellbeing by limiting the use of electronic monitoring tools. Advanced Information Technology, the Internet and Cybersecurity.
House concurred
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 2730) (subject to Joint Rule 12) of Barry R. Finegold and Frank A. Moran for legislation relative to deceptive and fraudulent deepfakes in election communications. Election Laws.
Accompanied a new draft, see S2831
By Representative Cutler of Pembroke, a petition (accompanied by bill, House, No. 1974) of Josh S. Cutler and Vanna Howard relative to the use of artificial intelligence in mental health services. Mental Health, Substance Use and Recovery.
Accompanied a study order, see H4712
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 1551) of Mark C. Montigny for legislation to promote transparency of facial recognition and driver's license photos. Public Safety and Homeland Security.
Accompanied a study order, see S2777
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 2730) (subject to Joint Rule 12) of Barry R. Finegold and Frank A. Moran for legislation relative to deceptive and fraudulent deepfakes in election communications. Election Laws.
House concurred
Discharged to the committee on House Rules
Bill reported favorably by committee and referred to the committee on House Ways and Means
By Ms. Creem, a petition (accompanied by bill, Senate, No. 927) of Cynthia Stone Creem, Joanne M. Comerford, Michael J. Barrett, Rebecca L. Rausch and other members of the Senate for legislation to implement the recommendations of the special commission on facial recognition technology. The Judiciary.
Accompanied a new draft, see H4359
By Representatives Ramos of Springfield and Rogers of Cambridge, a petition (accompanied by bill, House, No. 1728) of Orlando Ramos, David M. Rogers and others for legislation to implement the recommendations of the special commission on facial recognition technology. The Judiciary.
Accompanied a new draft, see H4359
By Representative Howitt of Seekonk, a petition (subject to Joint Rule 12) of Steven S. Howitt and others relative to artificial intelligence disclosures. Advanced Information Technology, the Internet and Cybersecurity.
Referred to the committee on House Rules
By Mr. Finegold, a petition (accompanied by bill, Senate, No. 31) of Barry R. Finegold for legislation to regulate generative artificial intelligence models like ChatGPT. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a new draft, see S2539
Senate, December 28, 2023 -- The committee on Advanced Information Technology, the Internet and Cybersecurity, to whom was referred the petitions (accompanied by bill, Senate, No. 26) of Brendan P. Crighton for legislation to modernize state agency information technology systems; (accompanied by bill, Senate, No. 30…
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
Committee recommended ought to pass and referred to the committee on House Ways and Means
By Representatives Garballey of Arlington and Cataldo of Concord, a petition (accompanied by bill, House, No. 64) of Sean Garballey, Simon Cataldo and Vanna Howard for legislation to establish a commission (including members of the General Court) relative to state agency automated decision-making, artificial intelli…
Accompanied a new draft, see H4024
By Mr. Lewis, a petition (accompanied by bill, Senate, No. 33) of Jason M. Lewis and Michael O. Moore for legislation to establish a commission on automated decision-making by government in the commonwealth. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a new draft, see H4024
Placed on file
By Mr. Fernandes of Falmouth, a petition (accompanied by bill, House, No. 117) of Dylan A. Fernandes and Lindsay N. Sabadosa for legislation to provide facial recognition accountability and comprehensive enforcement. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a study order, see H5173
Senate, February 14, 2022 -- The committee on Advanced Information Technology, the Internet and Cybersecurity, to whom was referred the petition (accompanied by bill, Senate, No. 60) of Jason M. Lewis and Susan L. Moran for legislation to establish a commission on transparency and use of artificial intelligence in g…
Bill reported favorably by committee and referred to the committee on Senate Ways and Means
By Mr. LeBoeuf of Worcester, a petition (accompanied by bill, House, No. 4029) of David Henry Argosky LeBoeuf relative to algorithmic accountability and bias prevention in the protection of consumers. Consumer Protection and Professional Licensure.
Accompanied a study order, see H4880
Placed on file
Committee recommended ought to pass and referred to the committee on House Ways and Means
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 1608) of Mark C. Montigny for legislation to promote transparency of facial recognition and driver's license photos. Public Safety and Homeland Security.
Accompanied a study order, see S2768
By Mr. Garballey of Arlington, a petition (accompanied by bill, House, No. 119) of Sean Garballey and others for legislation to establish a commission (including members of the General Court) relative to state agency automated decision-making, artificial intelligence, transparency, fairness, and individual rights. A…
Accompanied a new draft, see H4512
By Mr. Lewis, a petition (accompanied by bill, Senate, No. 60) of Jason M. Lewis and Susan L. Moran for legislation to establish a commission on transparency and use of artificial intelligence in government decision-making. Advanced Information Technology, the Internet and Cybersecurity.
Accompanied a new draft, see S2688
By Mr. Barrett, a petition (accompanied by bill, Senate, No. 161) of Michael J. Barrett for legislation to protect biometric information under the security breach law. Consumer Protection and Professional Licensure.
Accompanied a study order, see S2666
By Mr. Garballey of Arlington, a petition (accompanied by bill, House, No. 2701) of Sean Garballey and others for legislation to establish a commission (including members of the General Court) relative to state agency automated decision-making, artificial intelligence, transparency, fairness, and individual rights. …
Committee recommended ought to pass and referred to the committee on House Ways and Means
By Mr. Montigny, a petition (accompanied by bill, Senate, No. 1429) of Mark C. Montigny for legislation to promote transparency of facial recognition and driver's license photos. Public Safety and Homeland Security.
Accompanied a study order, see S2565
By Mr. Barrett, a petition (accompanied by bill, Senate, No. 98) of Michael J. Barrett, Jack Patrick Lewis, Maria Duaime Robinson, Thomas M. Stanley and other members of the General Court for legislation to protect biometric information under the security breach law. Consumer Protection and Professional Licensure.
Accompanied a study order, see S2534
By Mr. Lewis, a petition (accompanied by bill, Senate, No. 1876) of Jason M. Lewis, Jack Patrick Lewis, Thomas M. Stanley, Joseph A. Boncore and other members of the General Court for legislation to establish a commission on transparency and use of artificial intelligence in government decision-making. State Adminis…
Accompanied H2701
By Mr. Barrett, a petition (accompanied by bill, Senate, No. 95) of Michael J. Barrett, Denise Provost, Jay R. Kaufman, James B. Eldridge and other members of the General Court for legislation to protect biometric information under the security breach law. Consumer Protection and Professional Licensure.
Read second and ordered to a third reading
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The EU AI Act applies to any company serving EU customers, even if you're based in Massachusetts. Penalties reach €35M or 7% of global revenue. Deadline: August 2, 2026.
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Anchored to the primary government source (statute, bill text, or agency rule) and verified directly against it · Last verified Jul 2, 2026. See our methodology.
- ↗malegislature.govhttps://malegislature.gov/Bills/194/SD3007
- ↗mass.govhttps://www.mass.gov/news/ag-campbell-issues-advisory-providing-guidance-on-h…
- ↗mass.govhttps://www.mass.gov/info-details/massachusetts-law-about-artificial-intellig…