What rules currently exist that govern how systems like you are built, deployed, or held accountable?
Here’s a concise, up‑to‑date map of the main rules that shape how modern AI systems are built, deployed, and held to account. I’ve led with the United States and then added the other regimes most likely to affect U.S. builders or global deployments.
United States (federal)
United States (state and local)
European Union
Council of Europe (pan‑European, treaty)
United Kingdom
China
Standards and “soft law” many regulators point to
What this means in practice (quick takeaways)
If you tell me your role (e.g., foundation‑model developer, SaaS deployer to HR/credit/healthcare, or a public‑sector vendor), I can translate this into a short, prioritized compliance checklist for your situation.
Citations (21)
- https://www.whitehouse.gov/wp-content/uploads/2025/02/M-25-21-Accelerating-Federal-Use-of-AI-through-Innovation-Governance-and-Public-Trust.pdf
Backs: “If you sell to or integrate with agencies, these memos matter.”
- Rite Aid Banned from Using AI Facial Recognition After FTC Says Retailer Deployed Technology without Reasonable Safeguards | Federal Trade Commission
Backs: “The FTC is also updating its “impersonation” rule to tackle AI‑enabled deepfake scams.”
- Consumer Financial Protection Circular 2022-03: Adverse action notification requirements in connection with credit decisions based on complex algorithms | Consumer Financial Protection Bureau
Backs: “CFPB says ECOA/FCRA duties still apply when AI makes credit decisions—firms must give specific adverse‑action reasons even for complex models.”
- U.S. EEOC and U.S. Department of Justice Warn against Disability Discrimination | U.S. Equal Employment Opportunity Commission
Backs: “EEOC/DOJ: algorithmic tools in hiring must comply with federal anti‑discrimination law; EEOC has technical assistance on assessing adverse impact.”
- Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions | FDA
Backs: “18, 2025) on Predetermined Change Control Plans (PCCPs) lets AI‑enabled devices pre‑specify safe update pathways; FDA is now clearing devices with PCCPs.”
- SB24-205 Consumer Protections for Artificial Intelligence | Colorado General Assembly
Backs: “Developers and deployers of “high‑risk” AI must use reasonable care to prevent algorithmic discrimination, run risk‑management programs and impact assessments, give notices/appeals for consequential decisions, and report incidents to the Attorney General (exclusive enforcement). Safe‑harbors tie to recognized AI risk…”
- Automated Employment Decision Tools (AEDT) - DCWP
Backs: “New York City Local Law 144 (hiring tools): since July 2023, employers using “automated employment decision tools” must obtain an independent annual bias audit, publish results, and give candidate notices; violations can trigger civil penalties.”
- Enrolled Copy S.B. 149
Backs: “Utah AI Policy Act (2024, amended 2025): requires disclosure when consumers interact with generative AI (with stricter up‑front disclosure in regulated occupations and for mental‑health chatbots); establishes an Office of AI Policy.”
- PHOTOS: Gov. Lee Signs ELVIS Act Into Law
Backs: “Tennessee ELVIS Act (2024): expands right‑of‑publicity to cover voice, addressing AI voice‑cloning/impersonation.”
- Artificial Intelligence (AI) in Elections and Campaigns
Backs: “Deepfakes in elections: a growing set of states require labels or restrict deceptive AI‑generated political media near elections (dozens of enactments since 2019; coverage varies by state).”
- fb-20210331
Backs: “Illinois’ BIPA enables private suits over face/voice biometrics; major settlements (e.g., Facebook $650M) and constraints on Clearview AI illustrate accountability through civil liability.”
- When does enforcement start? | AI Act Service Desk
Backs: “Providers of systems already on the market have until Dec. 2, 2026 to meet certain labeling/detection marks.”
- AI Act | Shaping Europe’s digital future
Backs: “The Commission’s AI Office will issue guidance for GPAI and Article 50 transparency; fines and market‑surveillance mechanisms back enforcement.”
- Liability for defective products - Internal Market, Industry, Entrepreneurship and SMEs
Backs: “Updated EU Product Liability Directive (2024/2853): clarifies that software (including AI systems and ML‑driven updates) is a “product,” enabling no‑fault liability for defect‑caused damage; entered into force Dec. 8, 2024 (Member States must transpose).”
- The Framework Convention on Artificial Intelligence - Artificial Intelligence
Backs: “5, 2024): a binding treaty (once ratified) requiring signatories to ensure AI lifecycles respect human rights, democracy, and rule‑of‑law, with risk/impact assessment and remedies. Open beyond EU members.”
- A pro-innovation approach to AI regulation: government response - GOV.UK
Backs: “Online Safety Act updates also intersect with synthetic media harms.”
- Interim Measures for the Administration of Generative Artificial Intelligence Services | Digital Watch Observatory
Backs: “Service‑level rules govern GenAI and “deep synthesis” online: providers must complete filings/security assessments, label synthetic content, and meet content‑management and data‑source requirements (in force since 2023); there are earlier algorithm‑recommendation rules as well.”
- Artificial Intelligence Risk Management Framework (AI RMF 1.0) | NIST
Backs: “2023) + Generative AI Profile (July 2024) — widely referenced in U.S. policy and by some state laws as a safe‑harbor anchor.”
- Nowa norma ISO/IEC 42001:2023 – pierwszy na świecie standard zarządzania systemami sztucznej inteligencji
Backs: “ISO/IEC 42001:2023 (AI management systems) and ISO/IEC 23894:2023 (AI risk management) — increasingly used for governance programs and to align with EU and state obligations.”
- Frontier AI Safety Commitments, AI Seoul Summit 2024 - GOV.UK
Backs: “Voluntary “frontier AI” safety commitments (Seoul AI Summit 2024 and follow‑ons) — nonbinding, but many leading labs now publish safety frameworks, red‑team, and commit to provenance measures.”
- AI Risk Management Framework - Resources | NIST
Backs: “Across jurisdictions: having an AI governance system (e.g., aligned to NIST AI RMF and/or ISO/IEC 42001) and rigor around data provenance, model evaluation, bias testing, incident response, and user notices/appeals is increasingly the “portable” way to comply and defend your program.”