S. 2164: Algorithmic Accountability Act of 2025
The Algorithmic Accountability Act of 2025 aims to enhance transparency and oversight of automated decision systems that affect consumers. This legislation puts forth several key provisions:
Impact Assessments
The Act mandates that the Federal Trade Commission (FTC) conduct impact assessments for automated decision systems and decision-making processes that are augmented by technology. This evaluation is designed to understand the effects these systems have on consumers, ensuring that their deployment is responsible and ethical.
Compliance Requirements
The FTC will establish guidance that outlines how entities must comply with the Act. This guidance will include:
- Identifying which entities are covered by the legislation.
- Clear expectations for reporting and consultation with stakeholders regarding the use of automated decision systems.
Regulatory Oversight
The FTC is tasked with periodically reviewing regulations related to automated decision systems to ensure they remain relevant and effective. The Commission will also work in coordination with other government agencies to enhance regulatory effectiveness.
Enforcement Mechanisms
The enforcement of the Act will not solely be under the FTC; state attorneys general will also have the ability to enforce compliance. This dual approach aims to provide consistent regulatory oversight while allowing local laws to remain in effect.
Funding Provisions
The Act includes provisions for funding to support the implementation and enforcement of its measures as necessary, ensuring adequate resources are available for the FTC to carry out its responsibilities.
Relevant Companies
None found
This is an AI-generated summary of the bill text. There may be mistakes.
Sponsors
8 bill sponsors
Actions
2 actions
Date | Action |
---|---|
Jun. 25, 2025 | Introduced in Senate |
Jun. 25, 2025 | Read twice and referred to the Committee on Commerce, Science, and Transportation. |
Corporate Lobbying
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Potentially Relevant Congressional Stock Trades
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