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

Speakers

Sehyo Yune

Sehyo Yune

Research Translation Director, Harvard Medical School

Avanti Shrikumar

Avanti Shrikumar

PhD Student, Stanford University

Brandon Rohrer

Brandon Rohrer

Principal Data Scientist, iRobot

Tola Alade

Tola Alade

Data Scientist, Lloyds Banking Group

Michela Paganini

Michela Paganini

Postdoctoral Researcher, Facebook AI Research

Krishna Sankar

Krishna Sankar

Distinguished Engineer – AI, U.S. Bank

Chandra Khatri

Chandra Khatri

Senior AI Scientist, Uber AI

Maithra Raghu

Maithra Raghu

Research Scientist, Google Brain/Cornell University

Chris Moody

Chris Moody

Data Scientist, Stitch Fix

Soledad Galli

Soledad Galli

Lead Data Scientist, LV

Vinod Bakthavachalam

Vinod Bakthavachalam

Senior Data Scientist, Coursera

Media Partners

Intel
Ktn
Chicktech
Unite ai
Aij
Topbots
Kd nuggets

Partners

Accenture
H2O.ai
Pwc

Organizer

RE Work