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
Vinod Bakthavachalam
Senior Data Scientist, Coursera
Soledad Galli
Lead Data Scientist, LV
Chris Moody
Data Scientist, Stitch Fix
Maithra Raghu
Research Scientist, Google Brain/Cornell University
Chandra Khatri
Senior AI Scientist, Uber AI
Krishna Sankar
Distinguished Engineer – AI, U.S. Bank
Michela Paganini
Postdoctoral Researcher, Facebook AI Research
Tola Alade
Data Scientist, Lloyds Banking Group
Brandon Rohrer
Principal Data Scientist, iRobot
Avanti Shrikumar
PhD Student, Stanford University
Sehyo Yune
Research Translation Director, Harvard Medical School