OECD AI Principles
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OECD AI Principles
  • OECD AI Principles
  • 1. Inclusive growth, sustainable development and well-being (ISW)
  • 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)
  • 4. Accuracy, Robustness and Cybersecurity (ARC)
  • 5. Accountability (ACC)
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For the complete documentation index, see llms.txt. This page is also available as Markdown.

2. Human-centred values and fairness (HVF)

The requirements in this OECD principle deal with the collection, management, and use of data by an AI application and provision for humans in control for an AI application.

Below is the list of controls/checks part of the human-centred values and fairness (HVF):

  • HVF01 - Define Sets

  • HVF02 - Human Oversight Mechanism

  • HVF03 - Human Oversight Mechanism

  • HVF04 - Human Oversight - Biometric Identification Systems

  • HVF05 - Dataset Governance Policies

  • HVF06 - Data 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

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Last updated 3 years ago