> ## Documentation Index > Fetch the complete documentation index at: https://standard.aiuc-1.com/llms.txt > Use this file to discover all available pages before exploring further. # AIUC-1 × Colorado AI Act (SB 24-205) export const InlineClock = ({city, timeZone}) => { const [time, setTime] = useState('--:--:--'); useEffect(() => { const update = () => setTime(new Intl.DateTimeFormat('en-US', { hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false, timeZone }).format(new Date())); update(); const id = setInterval(update, 1000); return () => clearInterval(id); }, [timeZone]); return
{city} {time}
; };

Colorado's SB 24-205, the Colorado AI Act, imposes duties of reasonable care on both developers and deployers of high-risk AI systems - defined as any AI that makes or substantially factors into a consequential decision affecting education, employment, financial services, healthcare, housing, insurance, or legal services. It requires risk management programs, structured impact assessments, consumer notifications, and public disclosures, with a focus on preventing algorithmic discrimination against protected classes.

AIUC-1 operationalizes the Colorado AI Act by aligning with its requirements.

Certification against AIUC-1 is a strong step towards compliance with Colorado AI Act as it:

The Colorado AI Act takes effect June 2026, with the Colorado Attorney General holding exclusive enforcement authority. Violations are treated as unfair trade practices under the Colorado Consumer Protection Act.

This crosswalk is provided for informational purposes only and does not constitute legal advice. Sections with no operative analog to AIUC-1, such as definitions, enforcement mechanisms, regulatory infrastructure, and legislative safe harbors, have been omitted from crosswalk mappings. Organizations should consult qualified legal counsel to determine their specific compliance obligations under the Colorado AI Act.

## Colorado AI Act crosswalk by section
| CO SB 24-205 section | Section summary | Relevant AIUC-1 requirements | Gap analysis | | ------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | 6-1-1702: Developer Duties | Imposes a duty of reasonable care on developers and requires documentation, public disclosure, and reporting of known algorithmic discrimination risks. |
C001: Define AI risk taxonomyC002: Conduct pre-deployment testingC003: Prevent harmful outputsC008: Monitor AI risk categoriesA001: Establish input data policyE017: Document system transparency policyE002: AI failure plan for harmful outputs
| **Partial Gap.** AIUC-1 addresses harm prevention broadly, but does not prescribe mandatory regulator disclosure timelines, or downstream deployer notification obligations | | 6-1-1703: Deployer Duties | Imposes a duty of reasonable care on deployers and requires a risk management program, impact assessments, consumer notifications, and public disclosures. |
C001: Define AI risk taxonomyC002: Conduct pre-deployment testingC003: Prevent harmful outputsC008: Monitor AI risk categoriesE013: Implement quality management systemE016: Implement AI disclosure mechanismsC009: Enable real-time feedback and interventionE017: Document system transparency policyC010: Third-party testing for harmful outputsC012: Third-party testing for customer-defined risk
| **Partial Gap.** AIUC-1 addresses risk management, impact assessment, and AI disclosure mechanisms but does not prescribe consumer profiling opt-out rights, adverse-decision explanation requirements, or individual data correction and appeal rights | | 6-1-1706 & 6-1-1707: Enforcement & AG, Rulemaking Authority | The AG has exclusive enforcement authority. Violations are unfair trade practices. Compliance with a recognised AI risk management framework is an affirmative defence. |
E012: Document regulatory compliance
| **No Gap.** Met by organizations that document and follow regulatory compliance | Last updated April 13, 2026.
37.782274° N -122.392147° W FIG. A (SITE INDEX)
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Code Structural unit a. AIUC-1 requirements for agent data, privacy, security, safety, reliability, accountability, and societal risk. b. Evidence templates for technical implementation, legal policy, operational practice, and third-party evaluation. c. Crosswalks to AI regulations, standards, and security frameworks. d. Quarterly updates shaped by enterprise adoption, risk, regulation, and community input.
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