New York A 6578 (AI Training Data Transparency Act)

Proposed 2025-03-06 | Official source

Summary

Requires developers of generative AI models, by January 2027, to publicly document on their websites detailed information about training datasets, including sources, contents, and any modifications. Exempts models for aircraft operation and national security purposes from this requirement.

  • This machine-generated summary is awaiting review by an AGORA editor. Use with caution.
  • This document has not been enacted or otherwise finalized and is subject to change. This summary is based on a copy of the document collected 2026-03-23 - refer to the official source for the most current version.

Key facts

🏛️ This document has been proposed by the State of New York, but is not yet enacted. For authoritative text and metadata, visit the official source.

📜 This document's name is New York A 6578 (AI Training Data Transparency Act).

Themes AI risks, applications, governance strategies, and other themes addressed in AGORA documents.
  • This document has not been enacted or otherwise finalized and is subject to change. This summary is based on a copy of the document collected 2026-03-23 - refer to the official source for the most current version.

Thematic tags are in progress.

Full text

  • This is an unofficial copy. The document has been archived and reformatted in plaintext for AGORA. Footnotes, tables, and similar material may be omitted. For the official text, visit the original source.
  • This text may be out of date. According to the latest data in AGORA, this document has been proposed, but is not yet enacted or otherwise finalized. This text was collected 2026-03-23 and may have been revised in the meantime. Visit the official source for authoritative text.
AN ACT to amend the general business law, in relation to establishing the artificial intelligence training data transparency act THE PEOPLE OF THE STATE OF NEW YORK, REPRESENTED IN SENATE AND ASSEMBLY, DO ENACT AS FOLLOWS: Section 1. The general business law is amended by adding a new article 44-C to read as follows: ARTICLE 44-C ARTIFICIAL INTELLIGENCE TRAINING DATA TRANSPARENCY ACT SECTION 1430. SHORT TITLE. 1431. DEFINITIONS. 1432. DATA USED TO TRAIN GENERATIVE ARTIFICIAL INTELLIGENCE MODELS OR SERVICES. § 1430. SHORT TITLE. THIS ACT SHALL BE KNOWN AND MAY BE CITED AS THE "ARTIFICIAL INTELLIGENCE TRAINING DATA TRANSPARENCY ACT".
§ 1431. DEFINITIONS. FOR THE PURPOSES OF THIS ARTICLE, THE FOLLOWING TERMS SHALL HAVE THE FOLLOWING MEANINGS: 1. "ARTIFICIAL INTELLIGENCE" OR "ARTIFICIAL INTELLIGENCE TECHNOLOGY" MEANS A MACHINE-BASED SYSTEM THAT CAN, FOR A GIVEN SET OF HUMAN-DEFINED OBJECTIVES, MAKE PREDICTIONS, RECOMMENDATIONS, OR DECISIONS INFLUENCING REAL OR VIRTUAL ENVIRONMENTS, AND THAT USES MACHINE- AND HUMAN-BASED INPUTS TO PERCEIVE REAL AND VIRTUAL ENVIRONMENTS, ABSTRACT SUCH PERCEPTIONS INTO MODELS THROUGH ANALYSIS IN AN AUTOMATED MANNER, AND USE MODEL INFERENCE TO FORMULATE OPTIONS FOR INFORMATION OR ACTION. 2. "DEVELOPER" MEANS A PERSON, PARTNERSHIP, STATE OR LOCAL GOVERNMENT AGENCY, OR CORPORATION THAT DESIGNS, CODES, PRODUCES, OR SUBSTANTIALLY MODIFIES AN ARTIFICIAL INTELLIGENCE MODEL OR SERVICE FOR USE BY MEMBERS OF THE PUBLIC. 3. "GENERATIVE ARTIFICIAL INTELLIGENCE" MEANS A CLASS OF AI MODELS THAT EMULATE THE STRUCTURE AND CHARACTERISTICS OF INPUT DATA TO GENERATE DERIVED SYNTHETIC CONTENT, INCLUDING, BUT NOT LIMITED TO, IMAGES, VIDEOS, AUDIO, TEXT, AND OTHER DIGITAL CONTENT. 4. "SUBSTANTIALLY MODIFIES" OR "SUBSTANTIAL MODIFICATION" MEANS A NEW VERSION, NEW RELEASE, OR OTHER UPDATE TO A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE THAT MATERIALLY CHANGES ITS FUNCTIONALITY OR PERFORMANCE, INCLUDING THE RESULTS OF RETRAINING OR FINE TUNING. 5. "SYNTHETIC DATA GENERATION" MEANS A PROCESS IN WHICH SEED DATA IS USED TO CREATE ARTIFICIAL DATA THAT HAVE SOME OF THE STATISTICAL CHARACTERISTICS OF THE SEED DATA. 6. "TRAIN A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE" INCLUDES TESTING, VALIDATING, OR FINE TUNING BY THE DEVELOPER OF THE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE. 7. "AGGREGATE CONSUMER INFORMATION" MEANS INFORMATION THAT RELATES TO A GROUP OF CONSUMERS, FROM WHICH INDIVIDUAL CONSUMER IDENTITIES HAVE BEEN REMOVED, THAT IS NOT LINKED OR REASONABLY LINKABLE TO ANY CONSUMER OR HOUSEHOLD, INCLUDING VIA A DEVICE. AGGREGATE CONSUMER INFORMATION DOES NOT MEAN ONE OR MORE INDIVIDUAL CONSUMER RECORDS THAT HAVE BEEN DE-IDENTIFIED. 8. "AI MODEL" MEANS AN INFORMATION SYSTEM OR COMPONENT OF AN INFORMATION SYSTEM THAT IMPLEMENTS ARTIFICIAL INTELLIGENCE TECHNOLOGY AND USES COMPUTATIONAL, STATISTICAL, OR MACHINE-LEARNING TECHNIQUES TO PRODUCE OUTPUTS FROM A GIVEN SET OF INPUTS.
§ 1432. DATA USED TO TRAIN GENERATIVE ARTIFICIAL INTELLIGENCE MODELS OR SERVICES. 1. ON OR BEFORE JANUARY FIRST, TWO THOUSAND TWENTY-SEVEN, AND PRIOR TO EACH TIME THEREAFTER THAT A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE, OR A SUBSTANTIAL MODIFICATION TO A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE, RELEASED ON OR AFTER JANUARY FIRST, TWO THOUSAND TWENTY-TWO, IS MADE PUBLICLY AVAILABLE TO NEW YORKERS FOR USE, REGARDLESS OF WHETHER THE TERMS OF SUCH USE INCLUDE COMPENSATION, THE DEVELOPER OF SUCH MODEL OR SERVICE SHALL POST ON THE DEVELOPER'S WEBSITE DOCUMENTATION REGARDING THE DATA USED BY THE DEVELOPER TO TRAIN THE GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE, INCLUDING A HIGH-LEVEL SUMMARY OF THE DATASETS USED IN THE DEVELOPMENT OF THE GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE, INCLUDING, BUT NOT LIMITED TO: (A) THE SOURCES OR OWNERS OF THE DATASETS; (B) A DESCRIPTION OF HOW THE DATASETS FURTHER THE INTENDED PURPOSE OF THE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE; (C) THE NUMBER OF DATA POINTS INCLUDED IN THE DATASETS, WHICH MAY BE IN GENERAL RANGES, AND WITH ESTIMATED FIGURES FOR DYNAMIC DATASETS; (D) A DESCRIPTION OF THE TYPES OF DATA POINTS WITHIN THE DATASETS. FOR PURPOSES OF THIS PARAGRAPH, THE FOLLOWING DEFINITIONS APPLY: (I) AS APPLIED TO DATASETS THAT INCLUDE LABELS, "TYPES OF DATA POINTS" MEANS THE TYPES OF LABELS USED; AND (II) AS APPLIED TO DATASETS WITHOUT LABELING, "TYPES OF DATA POINTS" REFERS TO THE GENERAL CHARACTERISTICS; (E) WHETHER THE DATASETS INCLUDE ANY DATA PROTECTED BY COPYRIGHT, TRADEMARK, OR PATENT, OR WHETHER THE DATASETS ARE ENTIRELY IN THE PUBLIC DOMAIN; (F) WHETHER THE DATASETS WERE PURCHASED OR LICENSED BY THE DEVELOPER; (G) WHETHER THE DATASETS INCLUDE PERSONAL INFORMATION OR PERSONAL IDENTIFYING INFORMATION, AS DEFINED IN SECTION EIGHT HUNDRED NINETY-NINE-AAA OF THIS CHAPTER; (H) WHETHER THE DATASETS INCLUDE AGGREGATE CONSUMER INFORMATION; (I) WHETHER THERE WAS ANY CLEANING, PROCESSING, OR OTHER MODIFICATION TO THE DATASETS BY THE DEVELOPER, INCLUDING THE INTENDED PURPOSE OF THOSE EFFORTS IN RELATION TO THE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE; (J) THE TIME PERIOD DURING WHICH THE DATA IN THE DATASETS WERE COLLECTED, INCLUDING A NOTICE IF THE DATA COLLECTION IS ONGOING; (K) THE DATES THE DATASETS WERE FIRST USED DURING THE DEVELOPMENT OF THE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE; AND (L) WHETHER THE GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE USED OR CONTINUOUSLY USES SYNTHETIC DATA GENERATION IN ITS DEVELOPMENT. A DEVELOPER MAY INCLUDE A DESCRIPTION OF THE FUNCTIONAL NEED OR DESIRED PURPOSE OF THE SYNTHETIC DATA IN RELATION TO THE INTENDED PURPOSE OF THE MODEL OR SERVICE.
2. A DEVELOPER SHALL NOT BE REQUIRED TO POST DOCUMENTATION REGARDING THE DATA USED TO TRAIN A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE FOR ANY OF THE FOLLOWING: (A) A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE WHOSE SOLE PURPOSE IS THE OPERATION OF AIRCRAFT IN THE NATIONAL AIRSPACE; OR (B) A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL OR SERVICE DEVELOPED FOR NATIONAL SECURITY, MILITARY, OR DEFENSE PURPOSES THAT IS MADE AVAILABLE ONLY TO A FEDERAL ENTITY. § 2. This act shall take effect immediately.