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US AI rules, US AI rules

Colo. Rev. Stat. § 6-1-1701 et seq.

What this page is
US AI rules, US AI rules
Checked against the official source
2026-08-15Changed
Responsible publisher
ExploreWorld Legal, editorial deskLiability position
Jurisdiction
State CO, State IL, State UT
Risk dimensions
operations, employment, privacy
Tier
Tier 1
Coverage
55 %
Impact
5/5
Read
2026-08-15

Source chain

Every block in the register row has its own address, so an outcome can be cited down to the paragraph. The node carries the reference, the scope, the link to the official text and the outcomes in the tree that rest on the block.

  • Developer duties

    Colo. Rev. Stat. § 6-1-1702

    Reasonable care against algorithmic discrimination, plus documentation handed to the deployer.

  • Deployer duties

    Colo. Rev. Stat. § 6-1-1703

    A risk management program, an impact assessment and notice to the consumer before a consequential decision.

  • Impact assessment

    Colo. Rev. Stat. § 6-1-1703(3)

    Purpose, known risks, data categories, performance metrics and post-deployment monitoring.

  • Consumer notice and appeal

    Colo. Rev. Stat. § 6-1-1703(4)

    Notice of an adverse consequential decision, the reason, and a route to correction and human review.

  • Public statement

    Colo. Rev. Stat. § 6-1-1703(5)

    A public summary of the high-risk systems deployed and how risk is managed.

  • Discriminatory use

    775 ILCS 5/2-102(L)

    Use of artificial intelligence that has a discriminatory effect on a protected class in recruitment, promotion, discipline or discharge.

  • Zip code as proxy

    775 ILCS 5/2-102(L)(2)

    Use of zip code as a proxy for a protected class.

  • No defence for the system

    Utah Code § 13-72-101

    A person cannot rely on generative AI as a defence for a statement that breaches consumer protection law.

  • Disclosure on request

    Utah Code § 13-72-201

    A clear statement that the counterpart is a generative AI system when the consumer asks.

  • Regulated occupations

    Utah Code § 13-72-202

    Prominent disclosure at the start of the interaction in occupations that require a licence.

Colo. Rev. Stat. § 6-1-1701 et seq.

Rule tree

Rules are tested top down. Conditions are statutory elements and each outcome points to the register blocks it rests on.

  1. ai-co-deployer

    Impact assessment missing for a high-risk system in Colorado

    prohibited · Requirement applies · deployer, impact, notice

    Colo. Rev. Stat. § 6-1-1703 requires a risk management program, an impact assessment and notice to the consumer before a consequential decision, with correction and human review.

  2. ai-co

    The Colorado AI Act applies to the system

    risk · Requirement applies · developer, deployer, public

    Developers must use reasonable care against algorithmic discrimination and provide documentation (§ 6-1-1702). Deployers need a risk program, impact assessment, consumer notice and a public statement (§ 6-1-1703).

  3. ai-il

    Illinois rules on AI in employment apply

    risk · Requirement applies

    775 ILCS 5/2-102(L) prohibits AI that discriminates in employment decisions and requires notice to the applicant. 820 ILCS 42 requires notice and consent for AI analysis of video interviews.

  4. ai-ut

    Utah requires disclosure of generative AI

    risk · Requirement applies

    Utah Code § 13-75-103 requires disclosure on request that the consumer is interacting with generative AI, and regulated occupations must disclose it up front.

Outcome

allowed · Outside the scope

The rule yields no requirement for the facts supplied

No high-risk decision in Colorado, hiring in Illinois or generative consumer interaction in Utah is stated.

fallback · sha256:sha256:1df9e94e0280edc362953a7bc

Monitoring

The journal shows what moved in the register row, with the hash before and after. The impact score follows a rule stated in plain words.

How impact is scored: Grund: tillagd eller borttagen uppgift ger 3, ändrad uppgift 2, omläsning utan ändring 0. Tillägg: +1 när ändringen rör status eller tillämpningsdatum. Tillägg: +1 när agenten ligger i klass 1. Siffran begränsas till 0 till 5.

  • 2026-08-15 · 0/5 · lasning

    Raden läst mot den officiella publiceringen utan ändring

  • 2026-08-15 · 0/5 · lasning

    Raden läst mot den officiella publiceringen utan ändring

  • 2026-08-15 · 0/5 · lasning

    Raden läst mot den officiella publiceringen utan ändring

  • 2026-06-30 · 4/5 · tillampningsdatum, status

    Regeln började tillämpas enligt utgivaren

  • 2026-01-01 · 4/5 · tillampningsdatum, status

    Regeln började tillämpas enligt utgivaren

  • 2024-08-09 · 5/5 · antagande, identifierare, status

    Regeln antogs enligt 775 ILCS 5/2-102

  • 2024-05-17 · 5/5 · antagande, identifierare, status

    Regeln antogs enligt Colo. Rev. Stat. § 6-1-1701 et seq.

  • 2024-05-01 · 4/5 · tillampningsdatum, status

    Regeln började tillämpas enligt utgivaren

  • 2024-03-13 · 5/5 · antagande, identifierare, status

    Regeln antogs enligt Utah Code § 13-72

Supervision

European counterparts

  • ai-act · Båda texterna bygger på riskklasser, konsekvensbedömning och transparens. Coloradolagen är skriven kring beslut med rättslig verkan för konsumenter, inte kring att släppa ut en produkt på marknaden.
  • ai-act · Anställning är ett högriskområde i bilaga III till AI-förordningen. Illinoisvägen går genom medborgarrättslagstiftning i stället för produktregler.
  • ai-act · Artikel 50 i AI-förordningen bär samma tanke om transparens mot den som samspelar med systemet.

Artifacts and integrity

  • https://legal.exploreworldai.com/api/public/v1/us-agents/us-ai-rules/manifest.json
  • https://legal.exploreworldai.com/api/public/v1/us-agents/us-ai-rules/run
  • https://legal.exploreworldai.com/api/public/v1/us-agents/us-ai-rules/monitor.json
  • sha256:16018990250bcc2d3503fed2d00e7e4a9555e5f632f79d03e3bb14e560a16112
  • sha256:498e73e8201acb70db77a0555cfa9d9759136c226813e51a7105a6b63545a35e

The verdict is a machine classification of the outcome, not legal advice and not a compliance decision. Responsibility position · Colo. Rev. Stat. § 6-1-1701 et seq.

Verifiable trust signals

  • Six fixed blocks, one source per line
  • No sentence written by a language model
  • Engine version and read date on every answer
  • No customer data, no documents, no advice
  • Model card and audit published under the EU AI Act

Model cardAudit