Unit 2: Data Governance, Fairness & Bias Handling
You don’t need to be a data scientist to spot something off:
Ask about data sources
Review AI outputs criticallyFlag edge cases or gaps
Encourage inclusive testing
Push for human review when needed
📌 Pro Tip: If you can’t explain the AI decision or why someone was left out — that’s your cue to act.
