Requires covered agencies to study and report on artificial intelligence (AI) data methodologies, assess compliance with federal laws, and recommend regulatory changes. Authorizes these agencies to mandate that regulated entities and AI vendors disclose specific information regarding model training data, design, and function.
Mandates a study by covered agencies to establish and recommend standards for artificial intelligence (AI) data categorization, AI model training practices, and data source identification.
Requires an assessment of AI model design, functionality, and compliance with federal laws, including anti-discrimination and consumer protection requirements.
Obligates the issuance of a report to specified congressional committees within six months of enactment, detailing the study's findings and recommending potential legislative or regulatory revisions regarding AI disclosures.
Authorizes covered agencies, following the report's issuance, to mandate AI data reporting and public or vendor-to-entity disclosures by regulated entities and vendors, specifically concerning data sources, synthetic data ratios, and model functionality.
Defines "covered agencies" as key federal financial regulatory bodies, and "regulated entities" as the specific financial institutions overseen by these respective agencies.