EC Artificial Intelligence Act
HomeDocumentationGet started
  • EC Artificial Intelligence Act
  • EC AIA - Compliance Requirements
  • Article 09 - Risk Management System (ART09)
    • 09.01 - Risk Management System in Place
    • 09.02 - Risk Management System Capabilities and Process
    • 09.03 - Risk Management Measures
    • 09.04 - Testing
    • 09.05 - Residual Risks
    • 09.06 - Consideration of Children
    • 09.07 - Credit Institutions
  • Article 10 - Data Governance (ART10)
    • 10.01 - Define Sets
    • 10.02 - Dataset Governance Policies
    • 10.03 - Dataset Design Choices
    • 10.04 - Data Source Information
    • 10.05 - Dataset Annotations Information
    • 10.06 - Dataset Labels Information
    • 10.07 - Dataset Cleaning
    • 10.08 - Dataset Enrichment
    • 10.09 - Dataset Aggregation
    • 10.10 - Dataset Description, Assumptions and Purpose
    • 10.11 - Dataset Transformation Rationale
    • 10.12 - Dataset Bias Identification
    • 10.13 - Dataset Bias Mitigation
    • 10.14 - Dataset Bias Analysis Action and Assessment
    • 10.15 - Dataset Gaps and Shortcomings
    • 10.16 - Dataset Bias Monitoring - Ongoing
    • 10.17 - Dataset Bias Special/Protected Categories
  • Article 11 - Technical Documentation (ART11)
    • 11.01 - Technical Documentation Generated
    • 11.02 - Additional Technical Documentation
    • 11.03 - Technical Details
    • 11.04 - Development Steps and Methods
    • 11.05 - Pre-trained or Third Party Tools/Systems
    • 11.06 - Design Specification
    • 11.07 - System Architecture
    • 11.08 - Computational Resources
    • 11.09 - Data Requirements
    • 11.10 - Human Oversight Assessment
    • 11.11 - Pre Determined Changes
    • 11.12 - Continuous Compliance
    • 11.13 - Validation and Testing
    • 11.14 - Monitoring, Function and Control
    • 11.15 - Risk Management System
    • 11.16 - Changes
    • 11.17 - Other Technical Standards
    • 11.18 - Ongoing Monitoring System
    • 11.19 - Reports Signed
    • 11.20 - Declaration of Conformity
  • Article 12 - Record Keeping (ART12)
    • 12.01 - Logging Capabilities
    • 12.02 - Logging Traceability
    • 12.03 - Logging - Situations that may cause AI Risk
    • 12.04 - Logging - Biometric Systems Requirements
  • Article 13 - Transparency and provision of information to user (ART13)
    • 13.01 - Transparency of the AI System
    • 13.02 - Instructions for Use
  • Article 14 - Human Oversight (ART14)
    • 14.01 - Human Oversight mechanism
    • 14.02 - Human Oversight details
    • 14.03 - Human Oversight - Biometric Identification Systems
  • Article 15 - Accuracy, Robustness and Cybersecurity (ART15)
    • 15.01 - Accuracy Levels
    • 15.02 - Robustness Assessment
    • 15.03 - Continuous Learning Feedback Loop Assessment
    • 15.04 - Cyber Security Assessment
  • Article 17 - Quality Management System (ART17)
    • 17.01 - Quality Management System in Place
    • 17.02 - Compliance Strategy Stated
    • 17.03 - Design processes
    • 17.04 - Development and QA processes
    • 17.05 - Test and Validation Procedures
    • 17.06 - Technical Standards
    • 17.07 - Data Management Procedures
    • 17.08 - Risk Management System
    • 17.09 - Ongoing Monitoring System
    • 17.10 - Incident Reporting Procedures
    • 17.11 - Communications with Competent Authorities
    • 17.12 - Record Keeping Procedures
    • 17.13 - Resource Management Procedures
    • 17.14 - Accountability Framework
  • Article 61 - Post Market Monitoring System (ART61)
    • 61.01 - Post Market Monitoring System in Place
    • 61.02 - Data Collection Assessment
    • 61.03 - Post Market Monitoring Plan
Powered by GitBook
On this page
  1. Article 09 - Risk Management System (ART09)

09.02 - Risk Management System Capabilities and Process

Previous09.01 - Risk Management System in PlaceNext09.03 - Risk Management Measures

Last updated 2 years ago

The adopted risk management system shall comprise the following steps:

  1. identification and analysis of the known and foreseeable risks associated with each high-risk AI system;

  2. estimation and evaluation of the risks that may emerge when the high-risk AI system is used in accordance with its intended purpose and under conditions of reasonably foreseeable misuse;

  3. evaluation of other possibly arising risks based on the analysis of data gathered from the post-market monitoring system referred to in ;

  4. adoption of suitable risk management measures in accordance with the provisions of the following paragraph.

The risk management measures referred to above, point 3 shall give due consideration to the effects and possible interactions resulting from the combined application of the requirements set out in the Chapter 2 of the EC AIA. They shall consider the generally acknowledged state of the art, including as reflected in relevant harmonised standards or common specifications.

On the Seclea Platform, the category 'Risk Management System Capabilities and process' consists of three checks: Risk Identification and Analysis, Risk Estimation and Evaluation and Post Market Risk Estimation and Evaluation. These checks track the suitability of the risk management system for EC AIA.

Article 61