The speaker will discuss the importance of human interpretable models, Explainable AI (challenges and use-cases) and look at some hands-on implementations.

Key topics covered \ Learning outcomes:

The necessity for Explainable AI
Understanding Responsible AI Systems
Explainable AI Principles
Techniques & Examples for interpreting classical ML models (LIME, SHAP etc.)
Techniques & Examples for interpreting vision (DL) models
Techniques & Examples for interpreting NLP models
Hands-on tutorials with LIME \ SHAP

Importance of Human Interpretable models & Explainable A.I

15th Dec

03:00 PM - 01:15 PM (CUT)

Dipanjan (DJ) Sarkar

About this session

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