S 3193
Algorithm Accountability Act
TL;DR
Sen. John Curtis (R-UT) introduced the Algorithm Accountability Act, which targets how companies use algorithms and AI systems to make consequential decisions about consumers. The bill sits in the Senate Commerce Committee and would likely require businesses to assess and document the impact of their automated decision-making tools in areas like credit, housing, employment, and healthcare.
How This Might Impact Your Business
Companies using algorithms for hiring, lending, insurance underwriting, housing decisions, or healthcare recommendations would face new impact assessment and documentation requirements.
Larger data-handling companies (typically those processing significant volumes of consumer data or generating substantial revenue) are the usual target of accountability bills like this, while small businesses often get carved out.
Expect requirements to test automated systems for bias, accuracy, and discriminatory outcomes before deployment and on a recurring basis.
Documentation would likely need to be retained and made available to federal regulators (FTC oversight is typical for this bill category), creating audit-readiness obligations.
Non-compliance under FTC enforcement frameworks typically carries civil penalties per violation, which can scale quickly across thousands of automated decisions.
Vendors selling AI decision tools to regulated companies would face downstream contractual pressure to provide bias testing data and model documentation.
Bill is early in the process (just referred to committee), so requirements and thresholds are still subject to significant change.
What Should You Do
Inventory every algorithm or AI system your company uses to make or materially influence decisions about consumers, employees, or applicants.
Ask your legal and compliance teams to benchmark current bias testing, model documentation, and audit trail practices against prior algorithmic accountability proposals (the 2022 and 2023 versions are a useful reference).
If you procure AI tools from vendors, review contracts for rights to obtain bias audits, training data disclosures, and model cards.
Assign an owner to track S 3193 through the Senate Commerce Committee and flag when hearings, markups, or amended text drop.
Brief your board or executive team on potential exposure, especially if your business relies heavily on automated decisioning in regulated verticals.
Who It Affects
Sponsors
Status Timeline
committee
Read twice and referred to the Committee on Commerce, Science, and Transportation.
November 18, 2025