Notify consumers and explain adverse consequential decisions

Practical action

Add pre-decision AI notices and an adverse-decision explanation and appeal workflow.

Who does it apply to?

Deployers making consequential decisions with high-risk AI.

Actors

Deployer / user organisation

Sectors

Employment and HRFinancial services and creditHealthcare and life sciencesEducation and trainingPublic services and government

Use cases

AI in hiring and employmentAI in finance, credit and insurance

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.

• satisfiesProcessProduct owner · at launch and on material change
  AI interaction and use disclosure notices

  Serves 18 recorded duties · evidence: AI interaction or use notice, Notice catalogue, Notice wording approval

  Pre-decision notice with purpose, nature and contact details.

• satisfiesProcessCustomer operations lead · once per ai system
  Decision explanation, human review and appeal route

  Serves 12 recorded duties · evidence: Adverse-decision explanation template, AI decision challenge and human review procedure, Challenge and reversal log

  Adverse-decision reasons, data correction and appeal for human review.

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.

• AI Agent Registry and Permission Matrix

  Register · XLSX and DOCX · v6

• EU AI Act Article 50 Transparency Kit

  Kit · DOCX and XLSX · v32

• NIST AI RMF ↔ EU AI Act ↔ ISO/IEC 42001 Crosswalk

  Crosswalk · XLSX · v3

• AI Model Card

  Kit · DOCX and XLSX · v4

All 8 templates that cover it →

What evidence would a reviewer expect?

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 →

Frequently asked questions

Cite this record

AIPolicyTracker (2026). “Notify consumers and explain adverse consequential decisions (Colorado AI Act)” [AIPT-OBL-0086, not yet verified]. https://aipolicytracker.org/id/AIPT-OBL-0086 (accessed 27 October 2026). Data licensed CC BY 4.0.

Permanent id AIPT-OBL-0086: 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.

@misc{aipolicytracker2026_notifyconsumersandexplai,
  author       = {{AIPolicyTracker}},
  title        = {{Notify consumers and explain adverse consequential decisions (Colorado AI Act)}},
  year         = {2026},
  howpublished = {\url{https://aipolicytracker.org/obligations/us-colorado-consumer-notice-and-adverse-decision-explanation}},
  url          = {https://aipolicytracker.org/obligations/us-colorado-consumer-notice-and-adverse-decision-explanation},
  urldate      = {2026-10-27},
  note         = {Data licensed CC BY 4.0. Accessed 27 October 2026}
}

Change history

Similar obligations in other instruments

• Employers must inform workers and their representatives before using high-risk AI at work — EU AI Act, European Union
• Disclose AI interaction and label synthetic content — EU AI Act, European Union
• Deployers must tell natural persons that a high-risk AI system is used in decisions about them — EU AI Act, European Union
• Deployers of emotion recognition or biometric categorisation must inform exposed persons — EU AI Act, European Union
• Deployers must disclose deepfakes and AI-generated text published on matters of public interest — EU AI Act, European Union
• Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way — EU AI Act, European Union
• Deployers must explain individual decisions taken with high-risk AI on request — EU AI Act, European Union
• Frontier developers must publish a transparency report before deploying a new frontier model — California SB 53, California (United States)