EU-AIA-10-10-superseded-20261013
Data Governance
10 — Data and data governance
Identify and address data gaps and shortcomings
Superseded on October 13, 2026
Re-extracted from consolidated text CELEX 02024R1689-20260727 (as amended by Regulation (EU) 2026/1744)
View the current obligation (EU-AIA-10-05)Description
Full Analysis & Evidence Requirements
Sign in to view the full obligation text, AI-generated applicability analysis, evidence checklists, and compliance mapping.
Sign In to ViewRelated Obligations
EU-AIA-10-01
Data Governance
Develop high-risk AI systems using quality-compliant data sets
EU-AIA-10-01-superseded-20261013
Data Governance
Use quality training, validation and testing data sets
EU-AIA-10-02
Data Governance
Implement appropriate data governance and management practices
EU-AIA-10-02-superseded-20261013
Data Governance
Implement appropriate data governance and management practices
EU-AIA-10-03
Risk Management
Examine data sets for possible biases affecting health, safety, rights, or discrimination
EU-AIA-10-03-superseded-20261013
Documentation
Document relevant design choices
EU-AIA-10-04
Risk Management
Implement measures to detect, prevent and mitigate identified biases
EU-AIA-10-04-superseded-20261013
Documentation
Document data collection processes and origin
EU-AIA-10-05
Documentation
Identify and document data gaps or shortcomings
EU-AIA-10-05-superseded-20261013
Documentation
Document data preparation processing operations
Map this obligation to your AI systems
ReguLume automatically maps regulatory obligations to your system inventory, identifies compliance gaps, and generates remediation plans.
Get Started