More answers like this
GPT-5Oct 30, 2026openai/gpt-5-2025-08-07

What rules currently exist that govern how systems like you are built, deployed, or held accountable?

Short answer: There isn’t one global “AI law.” Today, systems like this are governed by a patchwork of (a) general laws that already apply to software, data and discrimination, (b) AI‑specific statutes and rules in a few jurisdictions, and (c) standards and guidance used by regulators and customers to hold vendors to account. Here are the most relevant, with dates so you can see what is actually in force now.

United States – federal (what applies nationwide)

•OMB policy for federal agencies’ AI use: In 2025 OMB replaced its 2024 guidance with M‑25‑21 (governance/risk) and M‑25‑22 (acquisition). These require each agency to stand up AI governance, inventory uses, and apply minimum risk‑management practices (e.g., for “safety‑ or rights‑impacting” AI) when the federal government builds/buys AI. Note this governs agencies and their vendors, not the general public.[1]
•Executive Orders: EO 14110 (Oct 30, 2023) was revoked on Jan 20, 2025 by EO 14148; it was replaced on Jan 23, 2025 by EO 14179 (“Removing Barriers to American Leadership in AI”), which directed the above OMB updates. If you saw older references to EO 14110 obligations, they no longer control.[2]
•Existing enforcement under sector laws:
•FTC: can act against unfair or deceptive AI claims (e.g., “AI‑powered” marketing and training‑data claims).[3]
•CFPB: lenders using complex/AI models must still give specific adverse‑action reasons under ECOA/Reg B; model opacity is not a defense.[4]
•EEOC/DOJ: Title VII/ADA apply to AI in hiring; the EEOC’s 2023 technical assistance explains how to audit for disparate impact.[5]
•Financial regulators: banks must apply model‑risk‑management guidance (SR 11‑7/OCC MRM), updated and re‑affirmed in 2026.[6]
•Copyright: The U.S. Copyright Office’s policy (effective Mar 16, 2023) says purely AI‑generated material isn’t protected; human‑authored parts of AI‑assisted works can be. The Office’s 2025 Part 2 report reiterates the “human authorship” focus. Courts are also beginning to rule on training‑data issues.[7]

United States – state and local (what many companies feel most in practice)

•Colorado AI Act (SB 24‑205): In force since Feb 1, 2026 for “high‑risk” AI used in “consequential decisions” (credit, employment, housing, health, etc.). Requires risk‑management programs, impact assessments, notice to individuals, and incident notification to the AG for algorithmic discrimination; developers also have disclosure duties to deployers and the AG.[8]
•NYC Local Law 144 (automated employment decision tools): Since July 5, 2023, employers using AEDTs in NYC must conduct an independent annual bias audit, publish results, and give notices to candidates/employees.[9]
•California privacy/AI rules:
•CPPA regulations finalized in 2025 took effect Jan 1, 2026, adding consumer rights and notices for Automated Decision‑Making Technology (ADMT), plus risk assessments and cyber‑audits; some ADMT duties phase in by Jan 1, 2027 for “significant decisions.”[10]
•California’s “Bot” disclosure law (SB 1001) has required clear bot identification in certain commercial/election contexts since July 1, 2019.[11]
•A proposed 2024 “frontier model” bill (SB 1047) was vetoed; it is not law.[12]
•Biometrics and sensitive data:
•Illinois BIPA (740 ILCS 14) imposes strict notice/consent, retention and security duties for biometrics and allows private lawsuits; 2024 amendments clarified per‑person damages counting.[13]
•Washington’s My Health My Data Act (effective Mar 31, 2024) restricts collection/sharing of consumer health data outside HIPAA; enforced under the state consumer protection act.[14]

European Union (binding and rapidly phasing in)

•EU AI Act (Regulation (EU) 2024/1689): Entered into force Aug 1, 2024. Bans certain “unacceptable‑risk” practices from Feb 2, 2025; transparency duties (e.g., deepfake labeling) tighten by Dec 2, 2026; high‑risk rules phase in later: standalone high‑risk systems by Dec 2, 2027, and high‑risk systems embedded in products by Aug 2, 2028. National authorities and the Commission will enforce.[15]
•EU Digital Services Act (DSA): Fully applicable since Feb 17, 2024. Very Large Online Platforms/Search Engines must assess and mitigate “systemic risks,” adapt recommender systems, and publish transparency/audit reports (applies to AI‑driven intermediaries).[16]
•Product liability refresh: The new Product Liability Directive expressly covers software and AI‑enabled products. It entered into force Dec 8, 2024; Member States must transpose it by Dec 9, 2026, after which claims can be brought under the new rules.[17]
•Council of Europe AI Treaty: A first‑ever binding international AI convention (opened for signature Sept 5, 2024) requiring signatories to align AI lifecycles with human rights, democracy and rule‑of‑law; it complements, not replaces, EU law.[18]

United Kingdom

•No omnibus AI law; the government is using a “pro‑innovation” approach that pushes sector regulators to apply cross‑cutting AI principles. Separately, the Online Safety Act 2023 is being phased in via Ofcom codes and imposes risk duties on platforms (including recommender/algorithmic risks).[19]

Canada

•No federal AI act is in force for the private sector as of Oct 30, 2026. However, the Treasury Board’s Directive on Automated Decision‑Making (effective 2019; updated 2023) governs federal agencies’ automated decisions and requires Algorithmic Impact Assessments, transparency, testing and human oversight scaled to risk.[20]

China

•Binding national rules govern recommendation algorithms (Mar 1, 2022), deep‑synthesis/deepfake services (Jan 10, 2023), and generative‑AI services (Aug 15, 2023), covering filing, security/risk assessments, content labeling, and enforcement by the Cyberspace Administration of China and others.[21]

Cross‑jurisdictional standards and frameworks (increasingly referenced in contracts and supervision)

•NIST AI Risk Management Framework 1.0 (2023) with a Generative‑AI Profile (2024) is used widely for internal controls and vendor assessments in the U.S.[22]
•ISO/IEC 42001:2023 (AI management systems) and ISO/IEC 23894:2023 (AI risk management) let organizations certify or demonstrate governance and risk controls for AI lifecycles. Regulators and customers increasingly ask for alignment.[23]
•OECD AI Principles (2019; updated 2024) underpin many national policies and international cooperation on “trustworthy AI.”[24]

What this means in practice if you build or deploy systems like this

•Expect baseline compliance with privacy/data‑protection, consumer‑protection, IP/copyright and sectoral rules everywhere you operate; be able to explain data sources, training/data‑use rights, and model behavior.[7]
•Where AI‑specific laws apply (e.g., EU AI Act, Colorado SB 24‑205, NYC LL 144), you’ll need documented risk management, impact/bias testing, incident reporting, public/audience notices, and, for some uses, content labeling.[8]
•If you serve the EU as a platform/search or deploy models there, DSA obligations around systemic‑risk mitigation and recommender transparency can apply even if you’re not an “AI company.”[16]
•If you sell to U.S. federal agencies, procurement and governance requirements from M‑25‑21/M‑25‑22 now shape what evidence and guardrails you must deliver.[1]

If you want, tell me where you operate and your use case (e.g., hiring, customer service, healthcare), and I’ll map your specific obligations and likely audit artifacts.

Citations (24)

  1. 1whitehouse.govGovernment
    EXECUTIVE OFFICE OF THE PRESIDENT

    Backs: “Note this governs agencies and their vendors, not the general public.”

  2. 2govinfo.govGovernment
    DCPD-202500115 - Executive Order 14148—Initial Rescissions of Harmful Executive Orders and Actions - DCPD-202500115 | Content Details | GovInfo

    Backs: “If you saw older references to EO 14110 obligations, they no longer control.”

  3. 3ftc.govGovernment
    Statement of Chair Lina M. Khan Regarding the Joint Interagency Statement on AI

    Backs: “FTC: can act against unfair or deceptive AI claims (e.g., “AI‑powered” marketing and training‑data claims).”

  4. 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: lenders using complex/AI models must still give specific adverse‑action reasons under ECOA/Reg B; model opacity is not a defense.”

  5. 5govdelivery.comCompanies
    EEOC Releases New Resource on Artificial Intelligence and Title VII

    Backs: “Title VII/ADA apply to AI in hiring; the EEOC’s 2023 technical assistance explains how to audit for disparate impact.”

  6. 6occ.govGovernment
    Model Risk Management: Revised Guidance | OCC

    Backs: “Financial regulators: banks must apply model‑risk‑management guidance (SR 11‑7/OCC MRM), updated and re‑affirmed in 2026.”

  7. 7govinfo.govGovernment
    88 FR 16190 - Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence - Content Details - 2023-05321

    Backs: “The Office’s 2025 Part 2 report reiterates the “human authorship” focus. Courts are also beginning to rule on training‑data issues.”

  8. 8colorado.govGovernment
    SENATE BILL 24-205

    Backs: “Requires risk‑management programs, impact assessments, notice to individuals, and incident notification to the AG for algorithmic discrimination; developers also have disclosure duties to deployers and the AG.”

  9. 9nyc.govGovernment
    Automated Employment Decision Tools (AEDT) - DCWP

    Backs: “Since July 5, 2023, employers using AEDTs in NYC must conduct an independent annual bias audit, publish results, and give notices to candidates/employees.”

  10. 10ca.govGovernment
    California Finalizes Regulations to Strengthen Consumers' Privacy

    Backs: “CPPA regulations finalized in 2025 took effect Jan 1, 2026, adding consumer rights and notices for Automated Decision‑Making Technology (ADMT), plus risk assessments and cyber‑audits; some ADMT duties phase in by Jan 1, 2027 for “significant decisions.””

  11. 11justia.comEncyclopedias and reference
    California Business and Professions Code § 17940 (2025) :: 2025 California Code :: U.S. Codes and Statutes :: U.S. Law :: Justia

    Backs: “California’s “Bot” disclosure law (SB 1001) has required clear bot identification in certain commercial/election contexts since July 1, 2019.”

  12. 12apnews.comNews and mediaquality 1.00
    California governor vetoes bill to create first-in-nation AI safety measures

    Backs: “A proposed 2024 “frontier model” bill (SB 1047) was vetoed; it is not law.”

  13. 13ilga.govGovernment
    740 ILCS 14/20

    Backs: “Illinois BIPA (740 ILCS 14) imposes strict notice/consent, retention and security duties for biometrics and allows private lawsuits; 2024 amendments clarified per‑person damages counting.”

  14. 14wa.govGovernment
    Protecting Washingtonians’ Personal Health Data and Privacy | Washington State

    Backs: “Washington’s My Health My Data Act (effective Mar 31, 2024) restricts collection/sharing of consumer health data outside HIPAA; enforced under the state consumer protection act.”

  15. 15europa.euGovernment
    AI Act enters into force

    Backs: “Bans certain “unacceptable‑risk” practices from Feb 2, 2025; transparency duties (e.g., deepfake labeling) tighten by Dec 2, 2026; high‑risk rules phase in later: standalone high‑risk systems by Dec 2, 2027, and high‑risk systems embedded in products by Aug 2, 2028. National authorities and the Commission will enforce.”

  16. 16europa.euGovernment
    The enforcement framework under the Digital Services Act | Shaping Europe’s digital future

    Backs: “Very Large Online Platforms/Search Engines must assess and mitigate “systemic risks,” adapt recommender systems, and publish transparency/audit reports (applies to AI‑driven intermediaries).”

  17. 17europa.euGovernment
    Liability for defective products

    Backs: “Member States must transpose it by Dec 9, 2026, after which claims can be brought under the new rules.”

  18. 18coe.intGovernment
    The Framework Convention on Artificial Intelligence - Artificial Intelligence

    Backs: “A first‑ever binding international AI convention (opened for signature Sept 5, 2024) requiring signatories to align AI lifecycles with human rights, democracy and rule‑of‑law; it complements, not replaces, EU law.”

  19. 19gov.ukGovernment
    AI regulation: a pro-innovation approach - GOV.UK

    Backs: “Separately, the Online Safety Act 2023 is being phased in via Ofcom codes and imposes risk duties on platforms (including recommender/algorithmic risks).”

  20. 20canada.caGovernment
    Directive on Automated Decision-Making- Canada.ca

    Backs: “However, the Treasury Board’s Directive on Automated Decision‑Making (effective 2019; updated 2023) governs federal agencies’ automated decisions and requires Algorithmic Impact Assessments, transparency, testing and human oversight scaled to risk.”

  21. 21stanford.eduAcademic
    Translation: Internet Information Service Algorithmic Recommendation Management Provisions – Effective March 1, 2022

    Backs: “Binding national rules govern recommendation algorithms (Mar 1, 2022), deep‑synthesis/deepfake services (Jan 10, 2023), and generative‑AI services (Aug 15, 2023), covering filing, security/risk assessments, content labeling, and enforcement by the Cyberspace Administration of China and others.”

  22. 22nist.govGovernment
    AI Risk Management Framework | NIST

    Backs: “NIST AI Risk Management Framework 1.0 (2023) with a Generative‑AI Profile (2024) is used widely for internal controls and vendor assessments in the U.S.”

  23. 23iso.orgNonprofits and think tanks
    ISO/IEC 42001:2023 - AI management systems

    Backs: “ISO/IEC 42001:2023 (AI management systems) and ISO/IEC 23894:2023 (AI risk management) let organizations certify or demonstrate governance and risk controls for AI lifecycles. Regulators and customers increasingly ask for alignment.”

  24. 24oecd.orgGovernment
    OECD Legal Instruments

    Backs: “OECD AI Principles (2019; updated 2024) underpin many national policies and international cooperation on “trustworthy AI.””