GRCLibrary.ai

Standard

AI Data Quality and Readiness Validation Standard

This standard sets the measurable data-quality requirements and the readiness sign-off gate that a dataset must satisfy before it is used to train, fine-tune, evaluate, or operate an AI system at scale. It owns the data-quality model, the measures and targets, and the data-use approval that the training-data governance procedure, the dataset datasheet, and the AI System Register reference.

Type
Standard
Version
0.0.4
Date
2026-09-13
Owner
AI Data Steward
Approving authority
Governance Library Maintainer
Classification
Public
Confidentiality
Public
Category
AI Governance
Review frequency
6 to 12 months and upon material data, model, or regulatory change
Licence
CC BY-SA 4.0

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

Outline

  • 1. Purpose
  • 2. Applicability
  • 3. Requirements
  • 4. Evidence requirements
  • 5. Framework alignment
  • 6. Limitations

Frameworks it maps to

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