Section node

Public statement

Colo. Rev. Stat. § 6-1-1703(5)

What this page is: Section node, Colo. Rev. Stat. § 6-1-1703(5)
Checked against the official source: 2026-08-15Changed
Responsible publisher: ExploreWorld Legal, editorial deskLiability position

Short answer

What does Colo. Rev. Stat. § 6-1-1703(5) require, and where does it carry an outcome in the rule tree?

Colo. Rev. Stat. § 6-1-1703(5) is the paragraph the US AI rules decision agent rests on for this question. A public summary of the high-risk systems deployed and how risk is managed. The block was read against the publisher on 2026-08-15 and carries 1 outcomes in the agent's rule tree. The reference can be cited as it stands, with a link to the official text and a content hash.

Colo. Rev. Stat. § 6-1-1703(5)Checked against the publisher 2026-08-15Official text

A source reference, not legal advice.

Jurisdiction: Colo. Rev. Stat. § 6-1-1701 et seq.
Section node: public
Read: 2026-08-15
Hash: sha256:f000c1bf139f72d6

Official text Colorado AI Act JSON

Outcomes resting on this section

The rules below point to this section in their outcome. The verdict is a machine classification, not a judgment on an individual matter.

ai-co
The Colorado AI Act applies to the system
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).
risk, Requirement applies

Section nodes

Developer dutiesColo. Rev. Stat. § 6-1-1702
Deployer dutiesColo. Rev. Stat. § 6-1-1703
Impact assessmentColo. Rev. Stat. § 6-1-1703(3)
Consumer notice and appealColo. Rev. Stat. § 6-1-1703(4)
Discriminatory use775 ILCS 5/2-102(L)
Zip code as proxy775 ILCS 5/2-102(L)(2)
No defence for the systemUtah Code § 13-72-101
Disclosure on requestUtah Code § 13-72-201
Regulated occupationsUtah Code § 13-72-202

The verdict is a machine classification of the outcome, not legal advice and not a compliance decision.

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
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