Explainable AI Mini-Summit 2021
February 17, 2021
Online
Artificial IntelligenceMachine Learning
Demystify machine learning models, discover explainable techniques and adopt XAI methodologies to improve business performance.
Topics
- Bias
- Accountability
- Human-Computer Interaction
- Regulation
- Black Box Problem
- Transparency
- Risk Management
- Explainable Techniques
- Continuous Evaluation
- Neural Network Interpreters
- Sensitivity Analysis
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Speakers

Sehyo Yune
Research Translation Director, Harvard Medical School

Avanti Shrikumar
PhD Student, Stanford University

Brandon Rohrer
Principal Data Scientist, iRobot

Tola Alade
Data Scientist, Lloyds Banking Group

Michela Paganini
Postdoctoral Researcher, Facebook AI Research

Krishna Sankar
Distinguished Engineer – AI, U.S. Bank

Chandra Khatri
Senior AI Scientist, Uber AI

Maithra Raghu
Research Scientist, Google Brain/Cornell University

Chris Moody
Data Scientist, Stitch Fix

Soledad Galli
Lead Data Scientist, LV

Vinod Bakthavachalam
Senior Data Scientist, Coursera
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