EC Artificial Intelligence Act
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  • 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
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Article 09 - Risk Management System (ART09)

PreviousEC AIA - Compliance RequirementsNext09.01 - Risk Management System in Place

Last updated 2 years ago

Article 09 deals with the AI risk management practices required for EC AIA compliance. All activities related to risk management are detailed as part of this article. In this article, on the Seclea Platform, there are seven defined categories with relevant checks.

Following is the article text with relevant category numbers (09.##) from the Seclea Platform.

  1. A risk management system shall be established, implemented, documented and maintained in relation to high-risk AI systems ().

  2. The risk management system shall consist of a continuous iterative process run throughout the entire lifecycle of a high-risk AI system, requiring regular systematic updating (). It 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 Article 61;

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

  3. The risk management measures referred to in 2.3 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 Artificial Intelligence Act. They shall take into account the generally acknowledged state of the art, including as reflected in relevant harmonised standards or common specifications.

  4. The risk management measures referred to in 2.3 shall be such that any residual risk associated with each hazard as well as the overall residual risk of the high-risk AI systems is judged acceptable, provided that the high-risk AI system is used in accordance with its intended purpose or under conditions of reasonably foreseeable misuse. Those residual risks shall be communicated to the user (). In identifying the most appropriate risk management measures (), the following shall be ensured:

    1. elimination or reduction of risks as far as possible through adequate design and development;

    2. where appropriate, implementation of adequate mitigation and control measures in relation to risks that cannot be eliminated;

    3. provision of adequate information pursuant to Article 13, in particular as regards the risks referred to point 2.2 of this Article, and, where appropriate, training to users.

    4. In eliminating or reducing risks related to the use of the high-risk AI system, due consideration shall be given to the technical knowledge, experience, education, training to be expected by the user and the environment in which the system is intended to be used.

  5. High-risk AI systems shall be tested for the purposes of identifying the most appropriate risk management measures (). Testing shall ensure that high-risk AI systems perform consistently for their intended purpose and they are in compliance with the requirements set out in this Chapter 2 of the EC Artificial Intelligence Act.

  6. Testing procedures shall be suitable to achieve the intended purpose of the AI system and do not need to go beyond what is necessary to achieve that purpose ().

  7. The testing of the high-risk AI systems shall be performed, as appropriate, at any point in time throughout the development process, and, in any event, prior to the placing on the market or the putting into service. Testing shall be made against preliminarily defined metrics and probabilistic thresholds that are appropriate to the intended purpose of the high-risk AI system ().

  8. When implementing the risk management system described in points 1 to 7, specific consideration shall be given to whether the high-risk AI system is likely to be accessed by or have an impact on children ().

  9. For credit institutions regulated by Directive 2013/36/EU, the aspects described in points 1 to 8 shall be part of the risk management procedures established by those institutions pursuant to Article 74 of that Directive ().

Below is the list of controls/checks part of Article 09.

09.01
09.02
09.05
09.03
09.04
09.04
09.04
09.06
09.07
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