AI Fraud Accountability Act of 2026
Summary, written by a model from the CRS summary
Creates or enhances penalties for using AI to commit fraud, such as voice cloning scams and synthetic identity schemes. It gives prosecutors clearer tools against AI-enabled fraud.
Model-rated AI relevance 95%.
Sponsored by
Tim SheehyRepublicanMTData as of: bills Sep 9, 2026 · votes Sep 11, 2026 · statements Sep 9, 2026. What changed
Progress
Introduced
Mar 4, 2026
Reported by committee
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Passed House
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Passed Senate
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Became law
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Latest action · March 4, 2026
Read twice and referred to the Committee on Commerce, Science, and Transportation.
What members said
Releases that cite this bill first, then releases on the same topics.
Buchanan promotes government adoption of AI to detect tax fraud, paired with GAO evaluation of its accuracy, while not expanding IRS enforcement.
Source ↗Sanders would permanently ban superintelligent AI and pause advanced AI development until a new federal regulator sets safety rules.
Source ↗Barrett's bipartisan Doctors Not AI Act would bar AI from making medical-necessity insurance denials and require disclosure of AI use.
Source ↗Landsman's Doctors Not AI Act would keep licensed clinicians, not algorithms, in charge of medical-necessity decisions with transparency for patients.
Source ↗Schrier's Doctors Not AI Act would require doctors rather than AI systems to make health coverage decisions, with oversight and disclosure.
Source ↗Harrigan backs bipartisan monitoring of self-improving AI through NIST while stressing the bill imposes no new mandates and won't impede innovation.
Source ↗Jacobs introduces bipartisan legislation creating a DoD-wide AI incident and vulnerability reporting program to make military AI safer and more accountable.
Source ↗Whitesides introduces the Self-Improving AI Monitoring Act to give federal evaluators visibility into frontier labs' automated AI R&D and reduce superintelligence risk.
Source ↗Bill data read 2026-09-09T02:09:45.522Z