https://taxonomy.eticas.ai/risk/data-governance
Maturity: emerging
Inadequate labelling, tagging, approval, or appropriateness assessment of data, leading to downstream issues with fitness for purpose, bias, and compliance.
This subcategory is emerging. It has not yet been validated through established assessment methods.
System type: ADM and LLM systems
Lifecycle stages: Pre Processing
| Framework | Reference |
|---|---|
| EU AI Act (Regulation 2024/1689) | Article 10 — Data and data governance |
| ISO/IEC 42001:2023 — AI Management System | A.7 Data for AI systems |
| NIST AI Risk Management Framework (AI 100-1) | MAP 2.3 — data and input |
Source: HRA project taxonomy