AI Regulation in the United States
25 policies tracked , of which 21 carry binding duties and 4 are voluntary or emerging. Every entry links to its primary source.
California SB 1001
California Bot Disclosure Act (B.O.T. Act)
Makes it unlawful to use a bot to mislead people about its artificial identity in commercial or electoral contexts. An early chatbot disclosure rule that remains in force.
California AB 2013
California Generative AI Training Data Transparency Act
Requires generative AI developers to publish high-level documentation about the datasets used to train their systems, including sources and whether personal or copyrighted data is included.
California SB 53
California Transparency in Frontier Artificial Intelligence Act
Requires developers of the largest frontier models to publish safety frameworks, report critical safety incidents, and protect whistleblowers. It is the leading US model for frontier-AI transparency.
CFPB Circular 2022-03
CFPB Circular 2022-03: Adverse Action Notification Requirements for Algorithmic Credit Decisions
Confirms that creditors must give specific reasons for adverse credit decisions even when a complex algorithm produced them. Model opacity is not a defence under ECOA.
Tennessee ELVIS Act
Ensuring Likeness, Voice, and Image Security Act
The first US law expressly protecting individuals' voice and likeness from AI cloning, extending publicity rights to cover generative-AI voice and image deepfakes.
US Federal AI EO (2025)
Executive Order: Ensuring a National Policy Framework for Artificial Intelligence
A December 2025 executive order seeking a single national AI policy framework and signalling federal intent to preempt state AI laws judged inconsistent. It is the central variable in the US patchwork's future.
FDA AI/ML SaMD Guidance
FDA Guidance on Artificial Intelligence and Machine Learning in Software as a Medical Device
The FDA's approach to AI/ML-enabled medical devices, covering predetermined change-control plans, good machine-learning practice and transparency to clinicians. The main route to market for clinical AI in the US.
FTC Operation AI Comply
FTC Enforcement Against Deceptive AI Claims (Operation AI Comply)
The FTC's enforcement sweep against exaggerated and deceptive AI claims, applying existing Section 5 unfairness and deception authority. Establishes that AI marketing claims need substantiation like any other.
Illinois HB 3773
Illinois House Bill 3773: Artificial Intelligence in Employment Decisions
Amends the Illinois Human Rights Act to make discriminatory AI use in employment decisions a civil rights violation, and bars using ZIP code as a proxy for protected class.
Maryland HB 1202
Maryland House Bill 1202: Use of Facial Recognition Services in Job Interviews
Bars employers from using facial recognition during job interviews without the applicant's signed consent waiver. One of the earliest US limits on biometric AI in hiring.
NY LOADinG Act
New York LOADinG Act: Legislative Oversight of Automated Decision-making in Government
Requires New York State agencies to inventory and review automated decision-making systems, keep meaningful human oversight, and bars using them to displace unionised state workers.
NYC LL 144 (Bias Audit)
NYC Local Law 144: Automated Employment Decision Tools
Requires an annual independent bias audit of hiring/promotion AI tools, publication of results, and advance notice to candidates. It is the most-cited US example of mandatory algorithmic bias auditing.
OMB M-24-10
OMB Memorandum M-24-10: Advancing Governance, Innovation and Risk Management for Agency Use of AI
Requires federal agencies to appoint Chief AI Officers, inventory AI use cases, and apply minimum risk practices to rights- and safety-impacting AI or stop using it. Reaches vendors through procurement.
Texas TRAIGA
Texas Responsible Artificial Intelligence Governance Act
A narrowed governance statute focused on state-agency AI use, with bans on AI designed for behavioural manipulation, unlawful discrimination, or producing unlawful deepfake content, and a regulatory sandbox.
US EEOC / Title VII (AI)
US Anti-Discrimination Law Applied to AI (Title VII & ADA)
Rather than a new AI statute, US federal anti-discrimination law (Title VII, ADA) already reaches biased AI hiring and employment tools. It is the enforcement baseline for algorithmic discrimination in US workplaces.
Utah SB 149
Utah Artificial Intelligence Policy Act
Requires businesses to disclose generative-AI use to consumers on request (and proactively in regulated professions), and creates a state Office of AI Policy with a regulatory 'learning lab'.
Illinois AI (HR)
Illinois AI Employment Laws (AI Video Interview Act & HB 3773)
Illinois pairs its 2020 AI Video Interview Act with a 2026 Human Rights Act amendment (HB 3773) that makes discriminatory use of AI in employment decisions an unlawful practice and requires notice to workers.
California SB 942
California AI Transparency Act
Requires large generative AI providers to offer free AI-detection tools and embed latent + manifest provenance disclosures in AI-generated content, tackling synthetic-media transparency at scale.
California ADMT Regulations
California CCPA Regulations on Automated Decision-making Technology
Gives California consumers pre-use notice, opt-out and access rights over automated decision-making used for significant decisions, and requires risk assessments plus cybersecurity audits.
Colorado AI Act (SB 26-189)
Colorado Artificial Intelligence Act
The first US comprehensive state AI law targeting algorithmic discrimination in consequential decisions. Since repealed and replaced by a narrower automated-decision-technology statute taking effect January 2027.
US TAKE IT DOWN Act
TAKE IT DOWN Act
Criminalises publishing non-consensual intimate imagery, including AI-generated deepfakes, and requires covered platforms to remove reported content within 48 hours of a valid request.
NY RAISE Act
New York Responsible AI Safety and Education Act
Would require frontier model developers to publish safety protocols, withhold models posing unreasonable risk of critical harm, and report safety incidents to the state.
NIST AI RMF
NIST AI Risk Management Framework 1.0
A voluntary, widely adopted framework organised around four functions (Govern, Map, Measure and Manage) that has become the de facto reference for building trustworthy AI programmes in the US and beyond.
NIST GenAI Profile
NIST AI Risk Management Framework: Generative AI Profile (NIST AI 600-1)
Names twelve risks unique to or amplified by generative AI (confabulation, CBRN uplift, harmful bias, data leakage) and maps suggested actions onto the AI RMF's four functions.
NIST SP 800-218A
Secure Software Development Practices for Generative AI and Dual-Use Foundation Models (SP 800-218A)
Extends the Secure Software Development Framework to generative AI, adding practices for training-data provenance, model weight protection and supply-chain integrity.