Algorithmic Accountability Act of 2025
Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.
Summary
What This Bill Does
The Algorithmic Accountability Act of 2025 requires large companies using AI or automated systems for critical decisions (employment, credit, housing, healthcare, etc.) to conduct impact assessments evaluating potential harms, biases, and discrimination. Companies must submit summary reports to the FTC, which will maintain a public repository of these systems.
Who Benefits and How
Consumers gain transparency about how AI systems affect decisions in their lives, with protections against biased or discriminatory automated decisions. Civil rights advocates and researchers gain access to a public repository for studying algorithmic systems. State attorneys general can enforce the law, strengthening consumer protection.
Who Bears the Burden and How
Large tech companies and any business using AI for critical decisions (entities over $50M revenue or handling 1M+ consumer records) must conduct extensive impact assessments and file reports. Smaller AI developers face compliance burdens if they exceed $5M revenue and make critical decisions. The FTC must establish a new Bureau of Technology with at least 50 staff.
Key Provisions
- Impact assessments required for AI systems used in employment, credit, housing, healthcare, education, and other critical decisions
- Covered entities must evaluate bias, discrimination, privacy risks, and accuracy
- FTC creates public repository of deployed AI systems
- New Bureau of Technology established within FTC with 50+ staff
- State attorneys general can bring enforcement actions
- Violations treated as unfair/deceptive practices under FTC Act
Evidence Chain:
This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.
At a Glance
What This Bill Does
Requires large companies deploying automated decision systems (AI/ML) for critical decisions to conduct and report impact assessments to the FTC, establishing federal oversight of algorithmic decision-making
Key Policy Areas
Technology, Consumer Protection, Artificial Intelligence, Privacy
Primary Purpose
Requires large companies deploying automated decision systems (AI/ML) for critical decisions to conduct and report impact assessments to the FTC, establishing federal oversight of algorithmic decision-making
Policy Domains
Algorithmic Accountability Act of 2025
Identified Gains
- Consumers subject to AI decisions
- Civil rights advocates
- AI accountability researchers
- State attorneys general
Identified Costs
- Large technology companies
- AI/ML developers
- Companies using automated hiring/credit/housing systems
- FTC
Sponsors
Legislative Progress
In CommitteeMr. Wyden (for himself, Ms. Warren, Mr. Booker, Mr. Heinrich, …
Read twice and referred to the Committee on Commerce, Science, …
Introduced in Senate
Stakeholder Effects
cui bono?How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.
Companies deploying AI for critical decisions, Companies facing potential enforcement, Companies seeking compliance clarity
Positive-direction: Companies seeking compliance clarity, Regulated companies seeking consistent rules, Smaller AI developers below thresholds
Negative-direction: Companies deploying AI for critical decisions, Companies facing potential enforcement, Companies violating AI accountability requirements, Companies with proprietary AI systems, Covered entities deploying AI systems, Large technology companies using AI
Federal Trade Commission, NIST and OSTP, Other federal regulators (SEC, CFPB, HUD, etc.)
Federal Trade Commission faces effects in multiple directions
AI compliance consultants and lawyers, AI testing and auditing firms, Technology policy professionals
Consumers harmed by AI systems, Consumers subject to algorithmic decisions
Civil rights advocates and stakeholder groups, Consumer advocacy groups
Companies handling large consumer datasets
Companies using AI for employment decisions
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
- "the_chair"
- → Chair of the Federal Trade Commission
- "covered_entity"
- → Companies over $50M revenue or handling 1M+ consumer records that deploy automated decision systems
- "the_commission"
- → Federal Trade Commission
Key Definitions
Terms defined in this bill
Any information representing biological, physiological, or behavioral attributes of a consumer
Companies over $50M revenue OR handling 1M+ consumer records that deploy augmented critical decision processes; also includes smaller AI developers over $5M
Decisions affecting access to housing, employment, credit, education, healthcare, insurance, legal services, or essential utilities
Any system, software, or process (including ML, statistics, or AI) that uses computation to serve as basis for a decision or judgment
A process that employs an automated decision system to make a critical decision
We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.
Learn more about our methodology