Artificial Intelligence Policy Tracker

AI policies in New York (United States)

Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.

Results

3 of 244 instruments match

New York (United States) Act / statute In force Binding

New York AI companion safeguards

New York AI companion safeguards (General Business Law Article 47, sections 1700-1704)

Operators of AI companions must have a protocol to detect and respond to suicidal ideation and self-harm, and must tell users they are talking to AI at the start of a session and at least every three hours.

In force 5 Nov 2025 Pending review (a factual check against the official source, not a legal review) Official source
New York (United States) Act / statute Adopted Binding

New York RAISE Act (frontier model safety)

New York Responsible AI Safety and Education (RAISE) Act (S.6953-B / A.6453-B, signed December 2025)

The RAISE Act requires large developers of frontier AI models (defined by training compute and revenue thresholds) to publish and follow a safety and security protocol, report critical safety incidents to the state within a set period, not deploy models that create unreasonable risk of critical harm, and submit to Attorney General enforcement with civil penalties; the chapter amendments create a state oversight office and align definitions with California's Transparency in Frontier AI Act.

Applies from 1 Jan 2027 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
New York (United States) Act / statute In force Binding

NYC Local Law 144 (automated employment decision tools)

New York City Local Law 144 of 2021 on Automated Employment Decision Tools (AEDT) and DCWP implementing rules

Employers and employment agencies may not use an automated employment decision tool to screen candidates or employees for hiring or promotion in New York City unless the tool has had an independent bias audit within the past year, a summary of the audit results is published, and candidates receive at least ten business days' notice of the tool's use, the job qualifications assessed, and how to request an alternative process or accommodation. The bias audit calculates selection and scoring impact ratios by sex, race/ethnicity and intersectional categories. Enforcement began 5 July 2023.

Applies from 5 Jul 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source

Frequently asked questions

What counts as an AI policy instrument here?

Anything a government or standards body has actually issued: acts, regulations, executive orders, rules, national strategies, frameworks, guidance, codes of practice, voluntary standards and open consultations. Each record states which of those it is, whether it binds anyone, and links the official source it was read from.

Are these records legally verified?

A record is marked verified only after a named reviewer has opened its official source and confirmed each field. Anything that has not been through that carries "pending review" on the record itself, and the data-health document reports the current totals. Nothing here is legal advice.

How current is the information?

Every record carries the date its source document was published and the date it was last checked. A record not re-checked within the freshness window set by the verification policy is flagged as stale rather than quietly presented as current.

Can I reuse this data?

Yes. The records are published under CC BY 4.0 with attribution, and are available as CSV, newline-delimited JSON and a read-only REST API that needs no key. Cite the record URL, the date accessed and the official source alongside it.