Risk Management System (EU AI Act)
A continuous, documented process for identifying, evaluating, and mitigating risks of an AI system.
What is Risk Management System (EU AI Act)?
The EU AI Act requires high-risk systems to operate a risk management system across the full lifecycle: design, development, deployment, and post-market monitoring. It is not a one-off document. See AI Governance & Compliance Problems.
What is an example of Risk Management System (EU AI Act)?
For an employment AI system, the provider maintains a hazard register, tests discrimination and robustness, documents controls and residual risk, monitors complaints and overrides, and reopens the assessment after a material model update.
How is Risk Management System (EU AI Act) different from related concepts?
A risk register is a list of risks. A risk management system includes governance, methods, testing, decisions, controls, monitoring, evidence, responsibilities, and continuous improvement.
What should enterprises evaluate for Risk Management System (EU AI Act)?
- Define risk criteria, owners, review cadence, acceptance authority, and evidence requirements before launch.
- Connect technical tests and real-world monitoring to each identified risk and mitigation.
- Include impacts to health, safety, and fundamental rights—not only cybersecurity and financial loss.
Authoritative sources
Primary sources for the formal meaning, requirements, or original research behind Risk Management System (EU AI Act):
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