Assembly Bill A9097

2025-2026 Legislative Session

Requires disclosure of use of generative artificial intelligence to clients, criminal defendants, and the court

download bill text pdf

Sponsored By

Current Bill Status - In Assembly Committee


  • Introduced
    • In Committee Assembly
    • In Committee Senate
    • On Floor Calendar Assembly
    • On Floor Calendar Senate
    • Passed Assembly
    • Passed Senate
  • Delivered to Governor
  • Signed By Governor

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2025-A9097 (ACTIVE) - Details

Current Committee:
Assembly Judiciary
Law Section:
Civil Practice Law and Rules
Laws Affected:
Add R2107, amd R5528, CPLR; add §10.50, CP L

2025-A9097 (ACTIVE) - Summary

Requires disclosure of use of generative artificial intelligence to clients, criminal defendants, and the court.

2025-A9097 (ACTIVE) - Bill Text download pdf

                             
                     S T A T E   O F   N E W   Y O R K
 ________________________________________________________________________
 
                                   9097
 
                        2025-2026 Regular Sessions
 
                           I N  A S S E M B L Y
 
                            September 12, 2025
                                ___________
 
 Introduced by M. of A. K. BROWN -- read once and referred to the Commit-
   tee on Judiciary
 
 AN ACT to amend the civil practice law and rules and the criminal proce-
   dure  law,  in  relation  to requiring disclosure of use of generative
   artificial intelligence
 
   THE PEOPLE OF THE STATE OF NEW YORK, REPRESENTED IN SENATE AND  ASSEM-
 BLY, DO ENACT AS FOLLOWS:
 
   Section 1. The civil practice law and rules is amended by adding a new
 rule 2107 to read as follows:
   RULE  2107.  USE  OF  GENERATIVE  ARTIFICIAL INTELLIGENCE. (A) FOR THE
 PURPOSES OF THIS SECTION:
   1. "GENERATIVE ARTIFICIAL INTELLIGENCE" SHALL MEAN THE USE OF  MACHINE
 LEARNING  TECHNOLOGY,  SOFTWARE,  AUTOMATION,  AND ALGORITHMS TO PERFORM
 TASKS, TO MAKE RULES AND/OR PREDICTIONS BASED ON EXISTING DATA SETS  AND
 INSTRUCTIONS, INCLUDING, BUT NOT LIMITED TO:
   (A) ANY ARTIFICIAL SYSTEM THAT PERFORMS TASKS UNDER VARYING AND UNPRE-
 DICTABLE  CIRCUMSTANCES WITHOUT SIGNIFICANT HUMAN OVERSIGHT, OR THAT CAN
 LEARN FROM EXPERIENCE AND IMPROVE PERFORMANCE WHEN EXPOSED TO DATA SETS;
   (B) AN ARTIFICIAL SYSTEM  DEVELOPED  IN  COMPUTER  SOFTWARE,  PHYSICAL
 HARDWARE,  OR  OTHER  CONTEXT  THAT  SOLVES  TASKS  REQUIRING HUMAN-LIKE
 PERCEPTION, COGNITION, PLANNING, LEARNING,  COMMUNICATION,  OR  PHYSICAL
 ACTION;
   (C)  AN  ARTIFICIAL  SYSTEM  DESIGNED  TO  THINK  OR ACT LIKE A HUMAN,
 INCLUDING COGNITIVE ARCHITECTURES AND NEURAL NETWORKS;
   (D) A SET OF TECHNIQUES, INCLUDING MACHINE LEARNING, THAT IS  DESIGNED
 TO APPROXIMATE A COGNITIVE TASK; AND/OR
   (E)  AN  ARTIFICIAL  SYSTEM  DESIGNED  TO ACT RATIONALLY, INCLUDING AN
 INTELLIGENT SOFTWARE AGENT OR EMBODIED ROBOT THAT ACHIEVES  GOALS  USING
 PERCEPTION,  PLANNING, REASONING, LEARNING, COMMUNICATING, DECISION-MAK-
 ING, AND ACTING.

  EXPLANATION--Matter in ITALICS (underscored) is new; matter in brackets
                       [ ] is old law to be omitted.
                                                            LBD13617-01-5
 A. 9097                             2
              

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