Data Governance
Requirement to manage training data, ensure data quality, document data provenance, and maintain appropriate data governance practices for AI systems.
What Counts
- Training data quality requirements
- Data provenance documentation
- Bias in training data assessment
- Data minimization for AI systems
- Copyright compliance for training data
What Does Not Count
- General data protection requirements without AI-specific provisions
- Data governance that applies only to personal data (not training data)
- Voluntary data management practices
Related Terms
- Training data
- Data quality
- Data provenance
- Data management
Implementing Regulations
| Regulation | Jurisdiction | Status | Provisions |
|---|---|---|---|
| Privacy Act 1988 — Automated Decision-Making Reforms | Australia | enacted | 1 |
| Digital Personal Data Protection Act 2023 (DPDP) | India | phased enforcement | 1 |
| Law on Artificial Intelligence | Italy | enforcing | 1 |
| EO 14319 — Preventing Woke AI in the Federal Government | United States | enforcing | 1 |
Standards & Frameworks
Voluntary standards that address this obligation. Implementing these can help demonstrate compliance with the binding regulations above.
| Standard | Type | Status | Provisions |
|---|---|---|---|
| General-Purpose AI Code of Practice (GPAI CoP) | framework | enforcing | 1 |
| ISO/IEC 42001 AI Management System | standard | voluntary | 1 |