NY S09390: Provides that in any civil, criminal or family court proceeding, where evidence is offered and a party contends that such evidence has been fabricate…
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Provides that in any civil, criminal or family court proceeding, where evidence is offered and a party contends that such evidence has been fabricated by means of generative artificial intelligence, the court shall not, on that ground alone, conduct an inquiry into such alleged fabrication unless…
AI Summary
The bill restricts courts from inquiring into evidence alleged to be AI-fabricated unless a party shows sufficient evidence to support a reasonable inference of inauthenticity.
If you present evidence in legal proceedings in New York, you must ensure its authenticity if AI fabrication is claimed or risk it being deemed inadmissible.
State
New York
Bill Number
S09390
Status
Introduced
Risk Level
Medium
Category
Comprehensive
Last Action
Mar 6, 2026
Last Verified
May 22, 2026
Data Updated
May 22, 2026
Version
v2
What do these statuses mean?▼
Introduced— Filed in the legislature; not yet heard in committee
In Committee— Assigned to and being reviewed by a legislative committee
Passed— Approved by one or both chambers; awaiting further action
Signed / Enacted— Signed into law by the governor; may or may not be in effect yet
Dead / Vetoed— Vetoed, failed to pass, or session expired without action
Unknown— Status data not yet available or awaiting classification
This bill addresses the inquiry process for evidence in civil, criminal, and family court proceedings when generative AI is alleged to have fabricated that evidence. It requires parties to demonstrate reasonable grounds for questioning the authenticity of such evidence before a court can conduct an inquiry. This legislation could significantly impact how evidence is presented and challenged in legal contexts involving AI.
Key Provisions
Courts cannot inquire into alleged AI fabrication without sufficient showing of inauthenticity.
The bill does not explicitly state it applies to self-authenticating evidence.
Latest Legislative Action
REFERRED TO JUDICIARY
Bill Sponsors (showing 5 of 11)
Name
Role
District
Alexis WeikR
Sponsor
SD-008
Anthony PalumboR
Sponsor
SD-001
Dean MurrayR
Sponsor
SD-003
Jack MartinsR
Sponsor
SD-007
Jacob AshbyR
Sponsor
SD-043
Mario MatteraR
Sponsor
SD-002
Pamela HelmingR
Sponsor
SD-054
Patricia Canzoneri-FitzpatrickR
Sponsor
SD-009
Robert RolisonR
Sponsor
SD-039
Steven RhoadsR
Sponsor
SD-005
William WeberR
Sponsor
SD-038
Compliance Checklist
Ensure evidence authenticity if AI fabrication is claimed. Who: Parties presenting evidence in court. Penalty: Risk of evidence being ruled inadmissible.
Full Legal Analysis
The bill introduces a new rule across civil, criminal, and family court proceedings regarding the inquiry process for evidence claimed to be fabricated by generative artificial intelligence. It stipulates that a court shall not conduct an inquiry into such claims unless the contending party provides sufficient evidence to support a reasonable inference that the evidence may not be authentic. The bill applies uniformly across all types of court proceedings, ensuring that the same standards for evidence authenticity are maintained regardless of the legal context. This could affect a wide range of cases, from civil disputes to criminal prosecutions and family law matters, where AI-generated evidence might be presented. There are no specified penalties for non-compliance within the bill text, but the implications of failing to meet the authenticity standards could result in evidence being ruled inadmissible, which could significantly impact the outcomes of cases. The bill does not define 'generative artificial intelligence' specifically, but it clearly outlines the procedural requirements for challenging evidence based on claims of AI fabrication. This legislation is notable as it reflects a growing recognition of the complexities introduced by AI technologies in legal contexts. Similar legislative efforts may be observed in other jurisdictions as courts grapple with the implications of AI-generated content and its reliability as evidence.
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