GRCLibrary.ai

Standard

AI Testing, Validation and Documentation Standard

This standard defines the mandatory requirements for testing, validating, and documenting artificial intelligence systems throughout their lifecycle. It ensures that AI models deployed by the organization are technically sound, ethically validated, explainable, and compliant with applicable standards and regulations before and after deployment.

Type
Standard
Version
1.0.15
Date
2026-10-27
Owner
Chief Information Officer
Approving authority
Chief Information Officer
Classification
Public
Confidentiality
Public
Category
AI Governance
Review frequency
Annual and upon material AI framework or regulatory change
Licence
CC BY-SA 4.0

Read the full text on GitHub (opens in a new tab)

Outline

  • 1. Purpose
  • 2. Scope
  • 3. Governance and accountability
  • 4. AI system documentation requirements
  • 5. Pre-deployment testing requirements
  • 6. Post-deployment monitoring requirements
  • 7. Retraining and update validation
  • 8. Risk tier testing requirements
  • 9. Framework alignment

Frameworks it maps to

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