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
Explainable AI Mini-Summit 2021
Explainable AI Mini-Summit 2021

Speakers

Vinod Bakthavachalam

Vinod Bakthavachalam

Senior Data Scientist, Coursera

Soledad Galli

Soledad Galli

Lead Data Scientist, LV

Chris Moody

Chris Moody

Data Scientist, Stitch Fix

Maithra Raghu

Maithra Raghu

Research Scientist, Google Brain/Cornell University

Chandra Khatri

Chandra Khatri

Senior AI Scientist, Uber AI

Krishna Sankar

Krishna Sankar

Distinguished Engineer – AI, U.S. Bank

Michela Paganini

Michela Paganini

Postdoctoral Researcher, Facebook AI Research

Tola Alade

Tola Alade

Data Scientist, Lloyds Banking Group

Brandon Rohrer

Brandon Rohrer

Principal Data Scientist, iRobot

Avanti Shrikumar

Avanti Shrikumar

PhD Student, Stanford University

Sehyo Yune

Sehyo Yune

Research Translation Director, Harvard Medical School

Organizer

RE Work

Partners

Pwc
H2O.ai
Accenture

Media Partners

Kd nuggets
Topbots
Aij
Unite ai
Chicktech
Ktn
Intel

See Also

Algorithm Conference 2021

Algorithm Conference 2021

Artificial Intelligence Big Data Blockchain