人工智能基金会模型透明度法案-英-14页_52kb

H.R. 118: AI Foundation Model Transparency Act of 2023

This bill requires the Federal Trade Commission (FTC) to establish standards for transparency in artificial intelligence foundation models.

Purpose

Directs the FTC to create regulations ensuring public access to information on training data and algorithms used in AI foundation models, and to issue guidance for compliance.

Key Requirements

• Establishes standards within 9 months post-enactment for transparency, including:
  • Details on training data sources, size, composition, governance, labeling, and limitations.
  • Information to be publicly submitted to the FTC and made available online.
  • Alignment with AI risk management frameworks.
• Applies to large foundation models based on user/output thresholds.
• Includes provisions for alternative rules for open-source or derived models and annual updates.

Enforcement and Reporting

• Violations are treated as deceptive practices under FTC authority, with penalties enforced.
• Requires the FTC to submit annual reports on implementation.

Definitions

• Defines key terms such as "AI," "covered entity," "foundation model," and "inference" to clarify scope and applicability.

Funding

Requires $10 million for FY2025 and $3 million annually thereafter for enforcement.