Canada AIDA
HomeDocumentationGet started
  • 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
Powered by GitBook
On this page
  1. Data Governance (DG) of Anonymized and Non-Anonymized Data

DG19 - Dataset Anonymization Assessment

Specify the process and related techniques used to assess the effectiveness, security and privacy of the anonymization techniques. Detail or upload a document explaining the assessment procedure for the selected anonymization process and techniques.

PreviousDG18 - Dataset Anonymization ProcessNextRecord Keeping (RK)

Last updated 2 years ago