California AI Transparency Act
California's AI Transparency Act (SB 942) requires developers of generative AI systems that reach defined usage thresholds to provide AI detection tools and disclosure mechanisms so users and consumers can identify AI-generated content, establishing baseline transparency obligations for covered AI providers operating in or targeting California.
California State Legislature; administered by the California Attorney General
Colorado AI Act SB205
Colorado's SB 205 is the first US state statute imposing affirmative obligations on developers and deployers of high-risk AI systems, requiring algorithmic impact assessments, transparency notices, and consumer rights for consequential decisions.
Colorado General Assembly; signed by Governor Jared Polis
Executive Order 14110 on Safe, Secure, and Trustworthy Artificial Intelligence
Landmark U.S. presidential directive establishing comprehensive federal requirements for the safe development and deployment of AI, including mandatory safety reporting for frontier models, standards development mandates to NIST, and cross-agency coordination obligations.
Executive Office of the President of the United States
FDA AI/ML Software as Medical Device Guidance
FDA's action plan and associated guidance documents establish a regulatory framework for AI/ML-based Software as a Medical Device (SaMD), introducing a total product lifecycle (TPLC) approach, predetermined change control plans, and transparency and monitoring requirements for adaptive AI/ML algorithms used in clinical settings.
U.S. Food and Drug Administration (FDA), Center for Devices and Radiological Health (CDRH)
FTC AI Enforcement Policy
The FTC's AI enforcement posture, articulated through policy statements, guidance documents, and enforcement actions, applies existing consumer protection and competition statutes to AI-related harms including deceptive AI claims, discriminatory automated decisions, and unfair data practices underpinning AI systems.
Federal Trade Commission (FTC), United States
Illinois Biometric Information Privacy Act – AI Provisions
The Illinois Biometric Information Privacy Act (BIPA), 740 ILCS 14, restricts the collection, storage, use, and disclosure of biometric identifiers and information, with direct implications for AI systems that process facial geometry, voiceprints, iris scans, and similar biometric data. BIPA is among the most litigated biometric privacy statutes in the United States.
Illinois General Assembly; administered and enforced through private right of action and the Illinois Attorney General
NIST AI 600-1 Generative AI Profile
A companion resource to the NIST AI RMF 1.0 that provides structured guidance for managing the unique risks presented by generative AI systems, including large language models and multimodal foundation models.
National Institute of Standards and Technology (NIST), U.S. Department of Commerce
NIST Artificial Intelligence Risk Management Framework Playbook
Voluntary, use-case-agnostic operational companion to the NIST AI Risk Management Framework (AI RMF 1.0) that provides structured, actionable guidance, suggested actions, and example outputs for implementing the four core AI RMF functions-GOVERN, MAP, MEASURE, and MANAGE-across the AI system lifecycle.
National Institute of Standards and Technology (NIST), U.S. Department of Commerce
New York City Local Law 144 of 2021 – Automated Employment Decision Tools
Requires employers and employment agencies using automated employment decision tools (AEDTs) in New York City hiring or promotion decisions to conduct annual bias audits, publish audit results, and notify candidates prior to use.
New York City Council; administered by the New York City Department of Consumer and Worker Protection (DCWP)
SEC AI Governance Guidance
The SEC has issued rules, guidance, and proposed rulemaking addressing AI governance obligations for registered investment advisers, broker-dealers, and public companies, focusing on conflicts of interest in predictive data analytics, AI-related disclosures in securities filings, and examination priorities targeting algorithmic systems.
U.S. Securities and Exchange Commission (SEC)