Sponsors (30)
The bill significantly strengthens consumer protections, transparency, and enforcement around consequential algorithms at the likely cost of higher compliance burdens, legal exposure, and potential impacts on startups, service availability, and government spending.
Consumers and the public: the FTC (and other agencies) gain clearer, broader authority to regulate covered algorithms, designate consequential services, and use its full enforcement tools—closing enforcement gaps and enabling oversight across more sectors.
Racial and other protected groups and applicants: the bill requires disparate-impact controls, pre-deployment evaluations, and prohibitions on discriminatory outputs, reducing the likelihood of algorithmic discrimination in hiring, lending, and services.
All individuals: the bill increases transparency, notice, and individual control—required accessible/multilingual disclosures, short-form notices, opt-outs, human-alternative rights, and notification of material changes give people clearer information and ways to avoid or contest consequential automated decisions.
Consumers and businesses: developers and deployers face substantial new compliance costs (audits, de-identification, retention, reporting) that are likely to be passed to consumers through higher prices or reduced services.
Startups, small developers, and competition: high audit and certification costs and liability risks may push smaller firms out of consequential-use markets, reducing competition and slowing innovation.
Businesses and deployers: broad, agency-defined terms (e.g., 'consequential actions') plus expanded FTC discretion and overlapping jurisdiction raise regulatory uncertainty and risk of perceived overreach.
Based on analysis of 12 sections of legislative text.
Requires audits, pre‑deployment evaluations, annual impact assessments, transparency disclosures, and FTC enforcement for algorithms used in high‑stakes public and private decisions.
Official title: To establish protections for individual rights with respect to computational algorithms, and for other purposes.
Introduced December 2, 2025 by Yvette Diane Clarke · Last progress December 2, 2025
Creates a federal framework requiring developers and deployers of automated decision systems (covered algorithms) used in high‑stakes "consequential" contexts to evaluate, mitigate, disclose, and document harms before and after deployment. It gives the Federal Trade Commission primary enforcement authority, allows state attorneys general to sue, requires publication of plain‑language notices and technical reports, and authorizes agencies to hire staff and fund implementation. The bill mandates pre‑deployment evaluations and yearly impact assessments, independent audits when harms are plausible or occur, developer cooperation with deployers, accessibility and multilingual disclosures to affected people, record retention for 10 years, and civil penalties for violations. It also creates a new federal occupational series for algorithm auditors and permits the FTC to expand staffing to enforce the law.