Establish a risk management system for high-risk AI

Practical action

Set up a lifecycle risk register per high-risk system with test evidence and residual-risk acceptance.

Who does it apply to?

Providers of AI systems classified as high-risk under Article 6.

Actors

Provider / developer

Sectors

Cross-sector / all sectors

Use cases

AI in hiring and employmentAI in finance, credit and insuranceAI in educationAI in public servicesSafety-critical and infrastructure

Applies from: 2 December 2027

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 system
  AI risk assessment and lifecycle risk register

  Serves 12 recorded duties · evidence: AI system risk assessment, Per-system AI risk register, Residual-risk acceptance

  Continuous lifecycle risk process with register, testing evidence and residual-risk acceptance.

• supportsTechnical measureQuality or testing lead · at launch and on material change
  Accuracy, robustness, fairness and security testing

  Serves 15 recorded duties · evidence: Pre-release test report, Test plan and acceptance criteria, Release test sign-off

  Testing confirms that mitigations work.

• supportsTechnical measureAI system owner · continuous
  Post-deployment monitoring and drift detection

  Serves 10 recorded duties · evidence: Post-market monitoring plan, Monitoring dashboard or periodic monitoring report, Monitoring review decision

  Post-market data feeds risk re-evaluation.

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 Risk Register (MIT AI Risk Repository taxonomy)

  Register · XLSX · v4

• EU AI Act Role and Risk Classifier

  Checklist · XLSX · v4

• AI Impact Assessment

  Assessment · DOCX and XLSX · v5

• EU AI Act Article 50 Transparency Kit

  Kit · DOCX and XLSX · v32

All 9 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 European Union duty mapped this way →

Frequently asked questions

Cite this record

AIPolicyTracker (2026). “Establish a risk management system for high-risk AI (EU AI Act)” [AIPT-OBL-0006, not yet verified]. https://aipolicytracker.org/id/AIPT-OBL-0006 (accessed 27 October 2026). Data licensed CC BY 4.0.

Permanent id AIPT-OBL-0006: it never changes or gets reused, and its address keeps working if this page moves.

Cite the official text alongside it: Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence, Official Journal of the European Union, https://eur-lex.europa.eu/eli/reg/2024/1689/oj.

@misc{aipolicytracker2026_establishariskmanagement,
  author       = {{AIPolicyTracker}},
  title        = {{Establish a risk management system for high-risk AI (EU AI Act)}},
  year         = {2026},
  howpublished = {\url{https://aipolicytracker.org/obligations/eu-ai-act-risk-management-system}},
  url          = {https://aipolicytracker.org/obligations/eu-ai-act-risk-management-system},
  urldate      = {2026-10-27},
  note         = {Data licensed CC BY 4.0. Accessed 27 October 2026}
}

Change history

Similar obligations in other instruments

• Deployers must implement a risk management policy and programme — Colorado AI Act, Colorado (United States)
• Deployers must use reasonable care to avoid algorithmic discrimination — Colorado AI Act, Colorado (United States)
• Apply minimum risk-management practices to high-impact AI — OMB M-25-21, United States
• Operators of high-impact AI must establish and operate a risk management plan — AI Basic Act, South Korea
• Developers must use reasonable care to avoid algorithmic discrimination — Colorado AI Act, Colorado (United States)
• Prioritise, respond to and monitor AI risks (Manage) — NIST AI RMF, United States (voluntary)
• Ensure AI systems are safe, secure and robust throughout their lifecycle — UK AI regulation framework, United Kingdom (voluntary)