New York S 934: Requires warnings on generative artificial intelligence systems

Status: SUBSTITUTED BY A3411B (as of 2026-03-09)

State: New York · Session: 2025-2026 · Bill: S 934

Sponsors: Kristen Gonzalez, Lea Webb, Rachel May

Bill Text

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S00934 Summary:

BILL NOS00934A

&nbsp

SAME ASSAME AS A03411-B

&nbsp

SPONSORGONZALEZ

&nbsp

COSPNSRMAY, WEBB

&nbsp

MLTSPNSR

&nbsp

Add §399-zzzzzz, Gen Bus L

&nbsp

Requires the owner, licensee or operator of a generative artificial intelligence system to conspicuously display a notice on the system's user interface that is reasonably calculated to consistently apprise the user that the outputs of the generative artificial intelligence system may be inaccurate.

Go to top S00934 Actions:

BILL NOS00934A

&nbsp

01/08/2025REFERRED TO INTERNET AND TECHNOLOGY

02/10/20251ST REPORT CAL.297

02/11/20252ND REPORT CAL.

02/12/2025ADVANCED TO THIRD READING 

03/10/2025PASSED SENATE

03/10/2025DELIVERED TO ASSEMBLY

03/10/2025referred to science and technology

06/09/2025RECALLED FROM ASSEMBLY

06/09/2025returned to senate

06/09/2025VOTE RECONSIDERED - RESTORED TO THIRD READING

06/09/2025AMENDED ON THIRD READING (T) 934A

06/12/2025REPASSED SENATE

06/12/2025RETURNED TO ASSEMBLY

06/12/2025referred to codes

01/07/2026died in assembly

01/07/2026returned to senate

01/07/2026REFERRED TO INTERNET AND TECHNOLOGY

02/25/20261ST REPORT CAL.429

02/26/20262ND REPORT CAL.

03/04/2026ADVANCED TO THIRD READING 

03/09/2026SUBSTITUTED BY A3411B

&nbspA03411 AMEND=B Vanel

&nbsp01/27/2025referred to science and technology

&nbsp05/19/2025amend and recommit to science and technology

&nbsp05/19/2025print number 3411a

&nbsp05/29/2025reported referred to codes

&nbsp06/05/2025reported referred to rules

&nbsp06/09/2025amend (t) and recommit to rules

&nbsp06/09/2025print number 3411b

&nbsp06/11/2025reported 

&nbsp06/11/2025rules report cal.608

&nbsp06/11/2025ordered to third reading rules cal.608

&nbsp01/07/2026ordered to third reading cal.110

&nbsp01/28/2026passed assembly

&nbsp01/28/2026delivered to senate

&nbsp01/28/2026REFERRED TO INTERNET AND TECHNOLOGY

&nbsp03/09/2026SUBSTITUTED FOR S934A

&nbsp03/09/20263RD READING CAL.429

&nbsp03/09/2026PASSED SENATE

&nbsp03/09/2026RETURNED TO ASSEMBLY

Go to topS00934 Committee&nbspVotes:

Go to topS00934 Floor&nbspVotes:

There are no Assembly votes for this bill in this legislative session.

Go to topS00934 Text:

 STATE OF NEW YORK
 ________________________________________________________________________

 934--A
 Cal. No. 297

 2025-2026 Regular Sessions

 IN SENATE

 (Prefiled)

 January 8, 2025
 ___________

 Introduced by Sens. GONZALEZ, MAY, WEBB -- read twice and ordered print-
 ed, and when printed to be committed to the Committee on Internet and
 Technology -- reported favorably from said committee, ordered to first
 and second report, ordered to a third reading, passed by Senate and
 delivered to the Assembly, recalled, vote reconsidered, restored to
 third reading, amended and ordered reprinted, retaining its place in
 the order of third reading

 AN ACT to amend the general business law, in relation to requiring
 notices on generative artificial intelligence systems

 The People of the State of New York, represented in Senate and Assem-
 bly, do enact as follows:

 1 Section 1. The general business law is amended by adding a new section
 2 399-zzzzzz to read as follows:
 3 § 399-zzzzzz. Notices on generative artificial intelligence systems.
 4 1. As used in this section the following terms shall have the following
 5 meanings:
 6 (a) "Generative artificial intelligence system" shall mean a class of
 7 artificial intelligence models that are self-supervised and emulate the
 8 structure and characteristics of input data to generate derived synthet-
 9 ic content, including, but not limited to, images, videos, audio, text
 10 and other digital content.
 11 (b) "Artificial intelligence" shall mean a machine-based system that
 12 can, for a given set of human-defined objectives, make predictions,
 13 recommendations, or decisions influencing real or virtual environments,
 14 and that uses machine- and human-based inputs to perceive real and
 15 virtual environments, abstract such perceptions into models through
 16 analysis in an automated manner, and use model inference to formulate
 17 options for information or action. This definition includes but is not
 18 limited to systems that use machine learning, large language model,

 EXPLANATION--Matter in italics (underscored) is new; matter in brackets
 [ ] is old la

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