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NY A7172: Relation to the regulation of the use of artificial intelligence and facial recognition technology in criminal investigations

In Committee New York

Last verified Oct 18, 2026 · official bill text

A7172 · where it stands

1 of 5 steps complete
  1. Introduced In committee
  2. Passed first chamber
  3. Passed both chambers
  4. Enacted
  5. Effective
What do these statuses mean?
Introduced
Filed in the legislature; may be waiting for a committee hearing.
Passed a chamber
Approved by one or both chambers; awaiting further action.
Enacted
Signed into law, or became law without a signature or over a veto.
Effective date
The date the law says it takes effect. Once it has passed, the page shows "Effective" and the date. A court order can still block a law; if we know of one, the summary says so.
Dead / vetoed
Vetoed, failed, or the session ended without action.

In one paragraph

New York's A 7172-B would add subdivision 25 to Executive Law § 837, requiring the division of criminal justice services to promulgate a written protocol for law enforcement agencies using AI and facial recognition technology in criminal investigations. The protocol would cover transparency measures (records of AI outputs, subject to audit), regular independent audits of facial recognition systems with public results, and officer training. Would take effect on the 90th day after it becomes law. On the Assembly floor calendar (Cal. 396, June 3, 2026); it has not passed either chamber.

Plain-English summary, written with AI assistance. The official text controls.

What it means for business

None yet: the bill is pending. If enacted, law enforcement agencies using AI or facial recognition in investigations would have to follow a state protocol on record-keeping, independent audits and training.

Key provisions

  1. Executive Law § 837(25): a protocol to standardize how law enforcement agencies use AI and facial recognition technology (FRT) in criminal investigations, including data analysis, pattern recognition, facial recognition and predictive analytics
  2. Agencies must implement transparency measures, including maintaining records of AI-generated outputs and the parameters used, subject to audit by an independent oversight body designated by the department
  3. Agencies must undergo regular independent audits of FRT systems for accuracy and bias, with results publicly accessible and disclosed in any case where FRT evidence is used
  4. Officers must receive training on the limits and proper use of AI and FRT, emphasizing mitigating bias and errors
  5. The text states no penalty, protocol deadline or private right of action; version B removed the evidence-rules section of version A
  6. Would take effect on the 90th day after it becomes law; amended March 5 and April 13, 2026 and on the Assembly floor calendar, not passed

Latest legislative action

Jun 3, 2026. ordered to third reading rules cal.396 rules report cal.396 reported reported referred to rules

Sponsors

NameRole
Primary
Cosponsor

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Topics and industries

Affected industries

This page is general information, not legal advice. Summaries are AI-assisted and may contain errors; read the statute for the controlling text and talk to a lawyer about your situation. Full disclaimer · Report an error