Eliminating Bias in Algorithmic Systems Act of 2026
Summary
What This Bill Does
The Eliminating Bias in Algorithmic Systems Act of 2026 creates a civil-rights oversight framework for federal algorithm use and regulation. Covered algorithms include machine learning, natural language processing, artificial intelligence, or similarly complex computational processes that may materially affect access to agency programs, federally regulated economic opportunities, or protected rights. Protected characteristics include race, color, ethnicity, national origin, nationality, immigration status, religion, sex, pregnancy, sexual orientation, gender identity, sex characteristics, disability, limited English proficiency, biometric information, familial or marital status, source of income, income level, age, veteran status, genetic information, medical conditions, and other federally protected classifications. Each covered agency must have an office of civil rights employing experts and technologists focused on bias, discrimination, and other harms. Within one year and every two years after that, each office must report to jurisdictional committees on algorithmic risks, mitigation steps, stakeholder engagement, and recommendations. DOJ's Civil Rights Division must establish an interagency working group on covered algorithms and civil rights within one year, with each covered agency civil-rights office as a member.
Who Benefits and How
People affected by federal or federally regulated algorithms, civil-rights advocates, consumer protection organizations, workers' organizations, technical experts, academic researchers, and congressional oversight committees benefit from dedicated agency expertise, regular reporting, stakeholder engagement, and an interagency working group. Agency civil-rights offices benefit from explicit authority to hire technologists and study algorithmic harms.
Who Bears the Burden and How
Covered agencies, agency civil-rights offices, federal program managers, procurement teams, agency technologists, DOJ Civil Rights Division staff, and companies whose algorithms are funded, procured, regulated, or overseen by agencies face new reporting, assessment, stakeholder engagement, and mitigation burdens. Agencies must evaluate algorithmic harms across many protected characteristics and produce biennial reports.
Key Provisions
- Defines covered algorithms to include AI, machine learning, natural language processing, and similarly complex computational processes with material effects.
- Defines protected characteristics broadly, including race, sex, disability, limited English proficiency, biometric information, source of income, age, veteran status, genetic information, and medical conditions.
- Requires covered agencies to maintain civil-rights offices with bias, discrimination, harm, and technology expertise.
- Requires covered agency civil-rights offices to submit algorithmic-bias reports within one year and every two years thereafter.
- Requires DOJ Civil Rights Division to establish an interagency working group on covered algorithms and civil rights.
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 federal covered agencies that use, fund, procure, regulate, or advise on covered algorithms to maintain civil-rights offices with bias and technology expertise, submit biennial algorithmic-bias reports, and participate in a DOJ Civil Rights Division interagency working group.
Key Policy Areas
Technology, Civil Rights, Government
Primary Purpose
Requires federal covered agencies that use, fund, procure, regulate, or advise on covered algorithms to maintain civil-rights offices with bias and technology expertise, submit biennial algorithmic-bias reports, and participate in a DOJ Civil Rights Division interagency working group.
Policy Domains
Substantive provisions
Identified Gains
- People affected by federal algorithms
- Civil rights advocates
- Consumer protection organizations
- Workers organizations
- Technical experts
- Congressional oversight committees
Identified Costs
- Covered agencies
- Agency civil rights offices
- Federal program managers
- Federal procurement teams
- Agency technologists
- DOJ Civil Rights Division staff
- Algorithm vendors
Sponsors
Legislative Progress
In CommitteeReferred to the House Committee on Oversight and Government Reform.
Introduced in House
Ms. Lee of Pennsylvania (for herself, Ms. Norton, Ms. Tlaib, …
Stakeholder Effects
cui bono?How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.
Agency civil rights offices, Congressional oversight committees, Covered agencies
Positive-direction: Congressional oversight committees
Negative-direction: Agency civil rights offices, Covered agencies
Civil rights advocates, Consumer protection organizations
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
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