Eliminating Bias in Algorithmic Systems Act of 2026
Sponsor

Full profile: /officials/L000602
Source: Congress.gov · FEC
Cosponsors (15)
Members who have signed on to support this bill since introduction. Source: Congress.gov.
- Al Green (D-TX-9)Original· 2026-01-15
- Bennie G. Thompson (D-MS-2)Original· 2026-01-15
- Bonnie Watson Coleman (D-NJ-12)Original· 2026-01-15
- Delia C. Ramirez (D-IL-3)Original· 2026-01-15
- Dwight Evans (D-PA-3)Original· 2026-01-15
- Eleanor Holmes Norton (D-DC)Original· 2026-01-15
- Henry C. "Hank" Johnson, Jr. (D-GA-4)Original· 2026-01-15
- Rashida Tlaib (D-MI-12)Original· 2026-01-15
- Shri Thanedar (D-MI-13)Original· 2026-01-15
- Suzanne Bonamici (D-OR-1)Original· 2026-01-15
- Valerie P. Foushee (D-NC-4)Original· 2026-01-15
- Jesús G. "Chuy" García (D-IL-4)· 2026-01-16
- Greg Casar (D-TX-35)· 2026-01-22
- Jahana Hayes (D-CT-5)· 2026-01-22
- André Carson (D-IN-7)· 2026-01-27
Latest Action
The most recent step in the bill's legislative path. Committee Activity below shows referrals and reports; the full action-by-action history including floor proceedings lives at Congress.gov →
Plain-English Summary
This bill would require companies and government agencies to test their computer algorithms and artificial intelligence systems for bias and discrimination before using them to make decisions about hiring, lending, housing, or other important services. If algorithms are found to unfairly disadvantage people based on race, gender, or other protected characteristics, organizations would have to fix the problems or stop using them. The law would primarily affect tech companies, financial institutions, employers, and government agencies that rely on automated decision-making systems.
AI-assisted summary generated from the official bill metadata (title, subjects, actions) sourced from Congress.gov. Cached and reviewed. Always verify against the official text linked below.
Affected Industries
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Subjects
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