Data Layer: Ethical, Safe and High-Quality Data

Aim

Show why responsible AI starts with responsible data. Poor data governance undermines every other control within the system.

Topics

• Ethical and moral data governance
• Data ownership and acceptable use
• Data sourcing and quality
• Bias identification and mitigation
• Drift and degradation monitoring
• Data lineage and transparency
• Continuous feedback and retraining governance

Activities

• Data quality assessment
• Bias detection in sample datasets
• “Should we use this data?” ethical debate