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Kanha House
Guest Lecture
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Explainable AI
MAKING DATA SCIENCE TRANSPARENT
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Netali Agrawal
AVP, Commonwealth Bank of Australia
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Date
28th March 2026
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Time
6:00 PM
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Mode
Online
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What You'll Learn
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XAI Fundamentals – Understanding explainability and why it matters |
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Interpretability Techniques – LIME, SHAP, and feature importance |
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Building Trust – Strategies for stakeholder confidence |
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XAI in Finance – Real-world applications and case studies |
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Ethics & Compliance – Meeting industry standards |
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Join the Session
meet.google.com/hqb-atov-vuf
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