Deployers must complete impact assessments for high-risk AI
Download: JSON · MarkdownUnder Colorado AI Act, C.R.S. 6-1-1703(3)
What this label means
- Verified
- — a named reviewer opened the official source and confirmed the record; the date and the reviewer are shown.
- Pending review
- — linked to the official source and in the queue for a reviewer to confirm.
- Source-linked
- — linked to the official source, not yet confirmed by a reviewer.
On this page 9 sections
In brief
Deployers must complete impact assessments for high-risk AI is a legal requirement under the Colorado AI Act in Colorado (United States) (C.R.S. 6-1-1703(3)). The record carries 1 evidence example and mappings to 2 frameworks. In practice: Build an impact-assessment template aligned with the statutory elements and calendar the annual refresh.
- Instrument
- Colorado AI Act
- Jurisdiction
- Colorado (United States)
- Nature
- Legal requirement
- Source reference
- C.R.S. 6-1-1703(3)
- Who it binds
- Deployer / user organisation
- Evidence examples
- 1
- Framework mappings
- ISO/IEC 42001:2023, NIST AI Risk Management Framework 1.0
- Controls that meet it
- 2
- Official source
- Open official text
- Verification
- Pending review · source-linked
What does it require?
Deployers must complete an impact assessment before deployment, annually, and within 90 days of any intentional and substantial modification, covering purpose, risks of algorithmic discrimination and mitigation, data categories, performance metrics, transparency measures and post-deployment monitoring, and retain assessments for at least three years.
Practical action
Build an impact-assessment template aligned with the statutory elements and calendar the annual refresh.
Who does it apply to?
Deployers of high-risk AI systems.
Which controls meet this duty?
Satisfies: the control, operated properly, does the work the duty asks for. Supports: it contributes but the duty needs more. Each control page lists every other duty it serves, so work done once can be counted once.
-
satisfiesProcessAI system owner · once per ai systemAI impact and fundamental-rights impact assessment
Serves 11 recorded duties · evidence: AI impact assessment, Impact assessment approval, Impact assessment procedure and template
Templated assessment aligned to the statutory elements, refreshed annually and on material change.
-
supportsTechnical measureAI system owner · continuousPost-deployment monitoring and drift detection
Serves 10 recorded duties · evidence: Post-market monitoring plan, Monitoring dashboard or periodic monitoring report, Monitoring review decision
Post-deployment monitoring described in the assessment.
Templates that cover this duty
Generated from the records. Free · no account · links emailed to your work address. This duty is cited in each file with its source reference and a link back here.
- Fundamental Rights Impact Assessment (FRIA)
Assessment · DOCX and XLSX · v5
- AI Impact Assessment
Assessment · DOCX and XLSX · v5
- ISO/IEC 42001 Gap Assessment and Statement of Applicability
Assessment · XLSX · v3
- NIST AI RMF ↔ EU AI Act ↔ ISO/IEC 42001 Crosswalk
Crosswalk · XLSX · v3
What evidence would a reviewer expect?
| Evidence | Type | Notes |
|---|---|---|
| Algorithmic impact assessment | report |
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
See every Colorado (United States) duty mapped this way →
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| ISO/IEC 42001:2023 | Clause 6.1.4 AI system impact assessment | Original editorial mapping. | high |
| NIST AI RMF 1.0 | MAP 5.x | Original editorial mapping. | medium |
Frequently asked questions
Is this a legal requirement?
Yes. It is a legal requirement under Colorado AI Act (C.R.S. 6-1-1703(3)).
Who must comply with this obligation?
Deployers of high-risk AI systems.
What evidence shows compliance?
A reviewer would expect: Algorithmic impact assessment.
Which frameworks map to this obligation?
It is mapped to ISO/IEC 42001:2023 Clause 6.1.4 AI system impact assessment, NIST AI Risk Management Framework 1.0 MAP 5.x. These are editorial crosswalks with a stated confidence, not official mappings.
Which controls satisfy this obligation?
AI impact and fundamental-rights impact assessment; Post-deployment monitoring and drift detection.
What should an organisation do in practice?
Build an impact-assessment template aligned with the statutory elements and calendar the annual refresh.
Cite this record
AIPolicyTracker (2026). “Deployers must complete impact assessments for high-risk AI (Colorado AI Act)” [AIPT-OBL-0085, not yet verified]. https://aipolicytracker.org/id/AIPT-OBL-0085 (accessed 27 October 2026). Data licensed CC BY 4.0.
Permanent id AIPT-OBL-0085: it never changes or gets reused, and its address keeps working if this page moves.
Cite the official text alongside it: SB24-205 Consumer Protections for Artificial Intelligence, Colorado General Assembly, https://leg.colorado.gov/bills/sb24-205.
BibTeX
@misc{aipolicytracker2026_deployersmustcompleteimp,
author = {{AIPolicyTracker}},
title = {{Deployers must complete impact assessments for high-risk AI (Colorado AI Act)}},
year = {2026},
howpublished = {\url{https://aipolicytracker.org/obligations/us-colorado-deployer-impact-assessment}},
url = {https://aipolicytracker.org/obligations/us-colorado-deployer-impact-assessment},
urldate = {2026-10-27},
note = {Data licensed CC BY 4.0. Accessed 27 October 2026}
}
Change history
No change to this record's tracked fields has been recorded since 15 October 2026, when field-level history began.
Similar obligations in other instruments
- Carry out a fundamental rights impact assessment before deployment — EU AI Act, European Union
- Significant Data Fiduciaries must appoint a DPO and run impact assessments and audits — India DPDP Act, India
- Carry out a data protection impact assessment for high-risk AI processing — ICO AI guidance, United Kingdom
- Conduct a data protection impact assessment for high-risk processing using new technologies — UAE PDPL, United Arab Emirates
- Map context, intended use and potential impacts (Map) — NIST AI RMF, United States (voluntary)
- Operators of high-impact AI should assess its impact on fundamental rights before use — AI Basic Act, South Korea (voluntary)
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.