NY RAISE Act
Responsible AI Safety and Education Act
Requires large AI developers of frontier models operating in New York to create safety protocols, report critical incidents within 72 hours, conduct annual reviews, and undergo independent audits. Creates dedicated DFS office funded by developer fees.
Jurisdiction
New York State
Enacted
Dec 19, 2025
Effective
Jan 1, 2027
Enforcement
New York State Department of Financial Services (DFS) - dedicated AI safety office
Signed December 19, 2025. Chapter amendments agreed upon (replacing compute thresholds with $500M revenue requirement, lowering penalties) to be formally enacted in January 2026 legislative session. Effective January 1, 2027.
NY Senate S6953BWhy It Matters
Second state-level frontier AI safety law after California. Establishes incident reporting requirements and independent audit mandate. May set precedent for other states. Creates first state-level DFS office dedicated to AI safety enforcement.
Recent Developments
Original RAISE Act signed by Governor Hochul on December 19, 2025. Chapter amendment (S-8828) introduced January 6, 2026, passed second chamber March 11, 2026, signed by Governor Hochul on March 27, 2026 as the final form of the law. Chapter amendment narrowed the definition of large frontier developers from a compute-based threshold to a $500M annual gross revenue threshold (aligning with California TFAIA / SB 53), and reduced civil penalties from $10M/$30M to $1M for first violation and $3M for repeat violations. Effective January 1, 2027. Multiple law firm analyses (Wiley Rein, Morrison & Foerster, Cleary Gottlieb) characterize the amendment as the definitive version of the law. The Act explicitly does not establish a private right of action; enforcement runs through the NY Attorney General and the DFS Office.
At a Glance
Applies to
Harms addressed
Who Must Comply
- Large AI developers of frontier models
- Developers operating in whole or in part in New York State
Obligations fall on:
Applicability thresholds:
Safety Provisions
- Large developers must create and publish safety and security protocols
- 72-hour reporting requirement for critical safety incidents
- Annual review of safety protocols accounting for capability changes
- Annual independent third-party audits
- No deployment if unreasonable risk of critical harm
- Protocols must address severe risks (bioweapons, automated criminal activity)
Compliance & Enforcement
Key Dates
Jan 1, 2027
Law takes effect
Apr 1, 2027
Initial compliance deadline for existing large developers (90 days after effective date)
Penalties
$3M
View on map
New York State
Focus Areas
Cite This
APA
New York State. (2025). Responsible AI Safety and Education Act.
Related Regulations
NY S 8420-A
Requires disclosure when advertisements use AI-generated 'synthetic performers.' Penalties of $1,000 for first offense, $5,000 for subsequent violations.
NY GBL Art. 47
Requires AI companion chatbot operators to implement protocols addressing suicidal ideation and self-harm, plus periodic disclosures and reminders to users. Uses three-part CONJUNCTIVE definition (all three criteria must be met). No private right of action—AG enforcement only.
Colorado AI Act
Colorado law regulating automated decision-making technology (ADMT) that materially influences consequential decisions in areas such as employment, housing, healthcare, financial services, and insurance. SB 26-189 repealed and replaced the 2024 Colorado AI Act framework, narrowing both scope and obligations.
TX Healthcare AI Law
Requires healthcare practitioners using AI for diagnosis to review all AI-generated records and disclose AI use to patients. Mandates EHR data localization (Texas patient data must be physically stored in US). Applies to covered entities and third-party vendors.
LA Healthcare AI Act
Regulates use of artificial intelligence by healthcare providers in Louisiana. Permits AI for administrative tasks but prohibits AI from making treatment/diagnosis decisions without licensed professional review, directly interacting with patients on treatment matters, or generating therapeutic recommendations without professional approval.
MD HB 895
First US state law to outright ban surveillance-based personalized pricing in food retail and third-party delivery, prohibiting use of protected class data and dynamic pricing tied to consumer personal data with limited exceptions for cost-based pricing, loyalty programs, and explicit consent.
Last updated May 10, 2026. Verify against primary sources before relying on this information.