Latest action: Read twice and referred to the Committee on Health, Education, Labor, and Pensions.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Prevents companies from using AI systems to make final employment decisions without human review.
The problem
Employers increasingly use artificial intelligence to hire, fire, and manage workers. These systems can make mistakes or show bias, affecting people's jobs and livelihoods unfairly.
The proposal
The bill requires human supervisors to review and approve any AI-based decisions about hiring, firing, discipline, or scheduling of employees before those decisions take effect.
The impact
Workers gain protection from AI errors in hiring and firing. Employers face new requirements to add human review steps to their decision-making processes.
AI systems can discriminate unfairly based on protected characteristics. Requiring human review catches these mistakes before they harm employees. Workers get a fair chance to be heard.
Companies avoid expensive lawsuits from workers harmed by faulty AI decisions. Human review catches errors early, saving legal costs and protecting company reputation.
Employees deserve human judgment about their employment. AI alone cannot understand context, circumstances, or individual merit. People should decide people's fates.
The rule is straightforward: humans must approve AI employment decisions. This is a basic safeguard that most businesses can reasonably implement.
Companies must hire staff to review AI decisions or retrain existing employees. Small businesses with limited resources may struggle with these added expenses and administrative burden.
Required human review steps take time. Companies move slower when filling urgent positions or removing problem employees. This delays important business decisions.
Human reviewers can also have bias and prejudices. Simply adding a human step does not guarantee fair decisions if that person shares the AI's biases.
Compliance costs hit small businesses harder than large corporations. Some startups and family businesses may abandon useful AI tools rather than bear new regulatory expenses.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
Money from people who work there, not from the company. Not tied to this bill.
Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
Senate LDA lobbying disclosures
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