EU-AIA-10-02
Data Governance
10 — Data and data governance
Implement appropriate data governance and management practices
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
Use quality training, validation and testing data sets
EU-AIA-10-03
Documentation
Document relevant design choices
EU-AIA-10-04
Documentation
Document data collection processes and origin
EU-AIA-10-05
Documentation
Document data preparation processing operations
EU-AIA-10-06
Documentation
Formulate and document assumptions about data
EU-AIA-10-07
Data Governance
Assess data availability, quantity and suitability
EU-AIA-10-08
Risk Management
Examine data for possible biases
EU-AIA-10-09
Risk Management
Implement bias detection, prevention and mitigation measures
EU-AIA-10-10
Data Governance
Identify and address data gaps and shortcomings
EU-AIA-10-11
Data Governance
Ensure data sets are relevant, representative and error-free
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