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MLOps · Module 9 of 10

Responsible AI and governance

Build fair, explainable and compliant ML systems.

📖 Key ideas

  1. Check models for bias across groups.
  2. Explain predictions with SHAP or LIME.
  3. Document with model cards and datasheets.
  4. Protect privacy: anonymise data, follow laws (DPDP Act, GDPR).
  5. Keep audit trails of data, models and decisions.
💡 Real-life example: Responsible AI is a referee ensuring the game is fair for all players.
BiasSystematic unfairness to groups
SHAPExplains feature contributions
Model cardModel documentation
Audit trailRecord of decisions and versions