This bill establishes Massachusetts' Chapter 93M to require transparency and accountability from developers and deployers of high-risk artificial intelligence systems used in the state. It mandates that developers disclose risks of algorithmic discrimination and document system limitations, while deployers of systems affecting housing, employment, healthcare, or financial decisions must conduct annual impact assessments, notify consumers when AI influences consequential decisions, and provide explanation and appeal options. The law exempts small businesses (under 50 employees), low-risk tools like spell-checkers, and entities subject to stricter federal rules. Enforcement falls to the Attorney General, treating violations as unfair trade practices under Chapter 93A, with public education campaigns to inform residents of their rights.
This bill establishes new regulations for employers using artificial intelligence in employment decisions within Massachusetts. It defines key terms like "Automated Decision System" (ADS) as any AI tool making hiring, promotion, or workplace decisions, and restricts how employers can collect or use sensitive employee data - including biometrics, health information, and productivity tracking. Employers must disclose ADS use and obtain consent for certain data collection, while prohibiting the use of AI tools for decisions affecting wages, benefits, or job access without transparency. The law directly affects all Massachusetts employers and workers whose data is processed by such systems.
By Mr. Moore, a petition (accompanied by bill, Senate, No. 44) of Michael O. Moore for legislation relative to deceptive and fraudulent deepfakes in election communications. Advanced Information Technology, the Internet and Cybersecurity.
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.
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.
By Mr. Moore, a petition (accompanied by bill, Senate, No. 48) of Michael O. Moore for legislation relative to AI-generated child sexual abuse material. Advanced Information Technology, the Internet and Cybersecurity.
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.
By Mr. Velis, a petition (accompanied by bill, Senate, No. 51) of John C. Velis for legislation relative to social media, algorithm accountability, and transparency. Advanced Information Technology, the Internet and Cybersecurity.
HD 3373 requires political campaigns, PACs, parties, and others paying for election-related ads to disclose when synthetic media (AI-generated audio or video) is used. Ads containing such content must display "Contains content generated by AI" at the start and end, plus specific real-time labels like "This video content generated by AI" during the ad. Violations carry a maximum $1,000 fine, though the law doesn’t override other legal liabilities. The rule applies only to paid political ads influencing votes on candidates or ballot measures, not general content.
This bill requires healthcare providers to inform patients if AI generates their health information and provide contact details for human providers. It also mandates health insurance companies to disclose when AI tools are used in claims reviews, including details about the tools. Insurers must annually report to the insurance division about AI algorithms used in care reviews, including how they address bias related to race, gender, or other protected characteristics. The law directly affects patients, healthcare providers, and insurance carriers by increasing transparency around AI in health communications and insurance decisions.
