Canada AIDA
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  • Canada - Artificial Intelligence and Data Act (AIDA)
  • Data Governance (DG) of Anonymized and Non-Anonymized Data
    • DG01 - Define Sets
    • DG02 - Dataset Governance Policies
    • DG03 - Dataset Design Choices
    • DG04 - Dataset Source Information
    • DG05 - Dataset Annotations Information
    • DG06 - Dataset Labels Information
    • DG07 - Dataset Cleaning
    • DG08 - Dataset Enrichment
    • DG09 - Dataset Aggregation
    • DG10 - Dataset Description, Assumptions and Purpose
    • DG11 - Dataset Transformation Rationale
    • DG12 - Dataset Bias Identification
    • DG13 - Dataset Bias Mitigation
    • DG14 - Dataset Bias Analysis Action and Assessment
    • DG15 - Dataset Gaps and Shortcomings
    • DG16 - Dataset Bias Monitoring - Ongoing
    • DG17 - Dataset Bias Special/Protected Categories
    • DG18 - Dataset Anonymization Process
    • DG19 - Dataset Anonymization Assessment
  • Record Keeping (RK)
    • RK01 - Logging Capabilities
    • RK02 - Logging Traceability
    • RK03 - Logging - Situations that May Cause AI Risk
    • RK04 - Logging - Biometric systems requirements
  • Technical Documentation (TD)
    • TD01 - Technical Documentation Generated
    • TD02 - Additional Technical Documentation
    • TD03 - Technical Details
    • TD04 - Development Steps and Methods
    • TD05 - Pre-trained or Third-Party Tools/Systems
    • TD06 - Design Specification
    • TD07 - System Architecture
    • TD08 - Computational Resources
    • TD09 - Data Requirements
    • TD10 - Human Oversight Assessment
    • TD11 - Pre-Determined Changes
    • TD12 - Continuous Compliance
    • TD13 - Validation and Testing
    • TD14 - Monitoring, Function and Control
    • TD15 - Risk Management System
    • TD16 - Changes
    • TD17 - Other Technical Standards
    • TD18 - Ongoing Monitoring System
    • TD19 - Reports Signed
  • Transparency and Provision of Information to User (TPI)
    • TPI01 - Transparency of the High-Impact AI System
    • TPI02 - Instructions for Use
  • Risk Management System (RMS)
    • RMS01 - Risk Management System in Place
    • RMS02 - Risk Management System Capabilities and Process
    • RMS03 - Risk Management Measures
    • RMS04 - Testing
    • RMS05 - Residual Risks
    • RMS06 - Consideration of Children
  • Quality Management System (QMS)
    • QMS01 - Quality Management System in Place
    • QMS02 - Compliance Strategy
    • QMS03 - Design Processes
    • QMS04 - Development and QA Processes
    • QMS05 - Test and Validation Procedures
    • QMS06 - Technical Standards
    • QMS07 - Data Management Procedures
    • QMS08 - Risk Management System
    • QMS09 - Ongoing Monitoring System
    • QMS10 - Incident Reporting Procedures
    • QMS11 - Communications with Competent Authorities
    • QMS12 - Record Keeping Procedures
    • QMS13 - Resource Management Procedures
    • QMS14 - Accountability Framework
    • QMS15 - Human Oversight Mechanism
    • QMS16 - Human Oversight Details
    • QMS17 - Accuracy Levels
    • QMS18 - Robustness Assessment
    • QMS19 - Continuous Learning Feedback Loop Assessment
    • QMS20 - Cyber Security Assessment
  • Post Market Monitoring System (PMS)
    • PMS01 - Post Market Monitoring System in Place
    • PMS02 - Data Collection Assessment
    • PMS03 - Post Market Monitoring Plan
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  1. Technical Documentation (TD)

TD02 - Additional Technical Documentation

The technical documentation of the high-risk AI application has to demonstrate that the high-risk AI system complies with the requirements of AIDA and has the necessary information to assess the compliance of the AI system.

In addition, compliance with AIDA requires that the high-risk AI system related to a product with other regulatory requirements shall draw up a single technical documentation. So for all of the regulatory compliance requirements imposed on a high-risk application, there should only be one technical documentation.

The check is manual, and you need to provide a statement confirming that you have mechanisms to verify the compliance of the AI application with AIDA. If you are using the Seclea Regulation Compliance feature, then the assessment and tracking of AI compliance with AIDA are carried out by Seclea. Also, you'll need to upload a statement confirming only one technical documentation for the respective high-risk AI application.

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Last updated 2 years ago