To require agencies that use, fund, or oversee algorithms to have an office of civil rights focused on bias, discrimination, and other harms of algorithms, and for other purposes.
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
This bill requires every federal agency that uses, funds, or regulates artificial intelligence and algorithmic decision-making systems to create an office of civil rights staffed with technical experts. These offices must report to Congress every two years on the risks of algorithmic bias and discrimination, and the Department of Justice must lead an interagency working group on algorithms and civil rights.
Who Benefits and How
Communities and individuals who interact with government programs, economic opportunities, or rights protected by federal agencies benefit from increased oversight of algorithmic systems. Civil rights organizations, academic researchers, and affected populations gain formal channels for engagement and input on how algorithms are used in government.
Who Bears the Burden and How
Federal agencies must allocate staff and resources to create and maintain new civil rights offices focused on algorithm oversight. Agencies must also produce biennial reports and participate in the interagency working group, adding administrative and compliance responsibilities.
Key Provisions
- Mandates that each covered agency maintain a civil rights office with experts in algorithmic bias and discrimination
- Requires biennial reports to Congress on the state of algorithmic risk, mitigation steps taken, and stakeholder engagement
- Establishes a DOJ-led interagency working group on algorithms and civil rights
- Authorizes appropriations for agencies to carry out these new requirements
Evidence Chain:
This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers.
At a Glance
What This Bill Does
Requires federal agencies that use, fund, or oversee algorithmic systems (including AI and machine learning) to establish offices of civil rights focused on identifying and mitigating bias, discrimination, and other harms caused by those algorithms.
Key Policy Areas
Technology, Civil Rights, Government Operations
Primary Purpose
Requires federal agencies that use, fund, or oversee algorithmic systems (including AI and machine learning) to establish offices of civil rights focused on identifying and mitigating bias, discrimination, and other harms caused by those algorithms.
Policy Domains
Whole Bill
Identified Gains
Contextual inference, no direct clause citation- Communities affected by algorithmic decision-making
- Civil rights advocacy organizations
- Workers subject to algorithmic management
Contextual inference, no direct clause citation
Identified Costs
Contextual inference, no direct clause citation- Federal agencies using AI/algorithmic systems
- Federal budget (authorized appropriations)
Contextual inference, no direct clause citation
Sponsors
Legislative Progress
IntroducedMs. Lee of Pennsylvania (for herself, Mr. Thompson of Mississippi, …
Stakeholder Effects
cui bono?How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
- "assistant_attorney_general"
- → Assistant Attorney General for Civil Rights, DOJ
- "the_head_of_covered_agency"
- → Head of each covered agency
Key Definitions
Terms defined in this bill
An agency that uses, funds, procures, develops, oversees, regulates, or advises on the development or use of a covered algorithm.
A computational process using machine learning, NLP, AI, or similar techniques that can materially affect agency programs, regulated economic opportunities, or protected rights.
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