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 12 - Record Keeping (ART12)

Previous11.20 - Declaration of ConformityNext12.01 - Logging Capabilities

Last updated 2 years ago

High-risk AI systems shall be designed and developed with capabilities enabling the automatic recording of events (‘logs’) while the high-risk AI systems is operating (). Those logging capabilities shall conform to recognised standards or common specifications.

The logging capabilities shall ensure a level of traceability of the AI system’s functioning throughout its lifecycle that is appropriate to the intended purpose of the system ().

In particular, logging capabilities shall enable the monitoring of the operation of the high-risk AI system with respect to the occurrence of situations that may result in the AI system presenting a risk within the meaning of Article 65(1) () or lead to a substantial modification, and facilitate the post-market monitoring referred to in Article 61.

For high-risk AI systems intended to be used for the ‘real-time’ and ‘post’ remote biometric identification of natural persons shall provide, at a minimum ():

  1. Recording of the period of each use of the system (start date and time and end date and time of each use);

  2. The reference database against which input data has been checked by the system;

  3. The input data for which the search has led to a match;

  4. The identification of the natural persons involved in the verification of the results, as referred to in Article 14 (5).

Below is the list of controls/checks part of Article 12.

12.01
12.02
12.03
12.04
12.01 - Logging Capabilities
12.02 - Logging Traceability
12.03 - Logging - Situations that may cause AI Risk
12.04 - Logging - Biometric Systems Requirements