OECD AI Principles
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  • OECD AI Principles
  • 1. Inclusive growth, sustainable development and well-being (ISW)
    • ISW01 - AI Governance
    • ISW02 - Responsible AI Policy
    • ISW03 - AI Oversight Process
  • 2. Human-centred values and fairness (HVF)
    • HVF01 - Define Sets
    • HVF02 - Human Oversight Mechanism
    • HVF03 - Human Oversight - Biometric Identification Systems
    • HVF04 - Human Oversight Details
    • HVF05 - Dataset Governance Policies
    • HVF06 - Dataset Design Choices
    • HVF07 - Dataset Source Information
    • HVF08 - Dataset Annotations Information
    • HVF09 - Dataset Labels Information
    • HVF10 - Dataset Cleaning
    • HVF11 - Dataset Enrichment
    • HVF12 - Dataset Aggregation
    • HVF13 - Dataset Description, Assumptions and Purpose
    • HVF14 - Dataset Transformation Rationale
    • HVF15 - Dataset Bias Identification
    • HVF16 - Dataset Bias Mitigation
    • HVF17 - Dataset Bias Analysis Action and Assessment
    • HVF18 - Dataset Gaps and Shortcomings
    • HVF19 - Dataset Bias Monitoring - Ongoing
    • HVF20 - Dataset Bias Special/Protected Categories
  • 3. Transparency and Explainability (TAE)
    • TAE01 - Technical Documentation Generated
    • TAE02 - Additional Technical Documentation
    • TAE03 - Technical Details
    • TAE04 - Development steps and methods
    • TAE05 - Pre-trained or Third party tools/systems
    • TAE06 - Design specification
    • TAE07 - System Architecture
    • TAE08 - Computational Resources
    • TAE09 - Data Requirements
    • TAE10 - Human Oversight Assessment
    • TAE11 - Pre Determined Changes
    • TAE12 - Continuous Compliance
    • TAE13 - Validation and Testing
    • TAE14 - Monitoring, Function and Control
    • TAE15 - Risk Management System
    • TAE16 - Changes
    • TAE17 - Other Technical Standards
    • TAE18 - Ongoing Monitoring System
    • TAE19 - Reports Signed
    • TAE20 - Transparency of the AI System
    • TAE21 - Instructions for Use
  • 4. Accuracy, Robustness and Cybersecurity (ARC)
    • ARC01 - Accuracy Levels
    • ARC02 - Robustness Assessment
    • ARC03 - Continuous Learning Feedback Loop Assessment
    • ARC04 - Cyber Security Assessment
  • 5. Accountability (ACC)
    • ACC01 - Logging Capabilities
    • ACC02 - Logging Traceability
    • ACC03 - Logging - Situations that may cause AI Risk
    • ACC04 - Logging - Biometric systems requirements
    • ACC05 - Details of Off-the-Shelf AI/ML Components
    • ACC06 - Evaluation Process of Off-the-Shelf Components
    • ACC07 - Quality Control Process of Off-the-Shelf Components
    • ACC08 - Internal Audit Reports
    • ACC09 - Risk Management System in Place
    • ACC10 - Risk Management System capabilities and processes
    • ACC11 - Risk Management Measures
    • ACC12 - Testing
    • ACC13 - Residual Risks
    • ACC14 - Full Track of Mitigation Measures
    • ACC15 - Quality Management System in Place
    • ACC16 - Compliance Strategy stated
    • ACC17 - Design Processes
    • ACC18 - Development and QA (Quality Assurance) processes
    • ACC19 - Test and Validation Procedures
    • ACC20 - Technical Standards
    • ACC21 - Data Management Procedures
    • ACC22 - Risk Management System
    • ACC23 - Ongoing Monitoring System
    • ACC24 - Post Market Monitoring System in Place
    • ACC25 - Data Collection Assessment
    • ACC26 - Post Market Monitoring Plan
    • ACC27 - Incident Reporting Procedures
    • ACC28 - Communications with Competent Authorities
    • ACC29 - Record Keeping Procedures
    • ACC30 - Resource Management Procedures
    • ACC31 - Accountability Framework
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  1. 2. Human-centred values and fairness (HVF)

HVF05 - Dataset Governance Policies

Set/or define governance policies for each of the defined training, validation and testing data sets. The policy document describing the dataset governance has to be uploaded to Seclea Compliance.

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Last updated 2 years ago