New York Assembly Bill A06578

New York 2025-2026 Regular Session

• Introduced: 3/6/25
• Refer: 3/6/25
• Report Pass: 5/29/25
• Refer: 5/29/25
• Report Pass: 6/10/25
• Engrossed: 6/10/25
• Refer: 6/10/25
• Engrossed: 5/5/26
• Refer: 5/5/26

Caption

Establishes the artificial intelligence training data transparency act requiring developers of generative artificial intelligence models or services to post on the developer's website information 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 such system or service.

Impact

If enacted, this bill will significantly affect how businesses involved in AI development operate, particularly in terms of compliance and accountability. By mandating the disclosure of training data, the bill aims to enhance consumer trust and data privacy protections. This legislation could cultivate a new standard in AI governance, ensuring that information regarding training datasets is readily available, thereby contributing to informed decision-making for users of AI technologies. Additionally, the requirement could facilitate further discussions on ethical data usage and AI applications.

Summary

A06578, known as the Artificial Intelligence Training Data Transparency Act, proposes that developers of generative AI models must disclose detailed information regarding the data used for training these models. The bill stipulates that developers must publish this information on their websites, including a summary of the datasets, their sources, and whether personal or sensitive data is included. This initiative aims to foster accountability and transparency in the burgeoning field of artificial intelligence, allowing users and stakeholders to better understand the AI models in use and their underlying data practices.

Contention

Notable points of contention surrounding A06578 include concerns from some developers regarding the implications of disclosing sensitive data, as it could potentially expose proprietary information and lead to issues related to data privacy. Furthermore, there is debate over how the disclosure requirements will impact smaller developers and startups that may lack the resources to comply with such extensive requirements. Critics may argue that this could stifle innovation and the competitive landscape in AI development, while proponents advocate for the need for transparency to protect consumers and ensure ethical use of AI technologies.