3rd Workshop on
Visualization for AI Explainability

October 26, 2020 at IEEE VIS in Virtual (originally Salt Lake City, Utah)

VISxAI Logo

The role of visualization in artificial intelligence (AI) gained significant attention in recent years. With the growing complexity of AI models, the critical need for understanding their inner-workings has increased. Visualization is potentially a powerful technique to fill such a critical need.

The goal of this workshop is to initiate a call for 'explainables' / 'explorables' that explain how AI techniques work using visualization. We believe the VIS community can leverage their expertise in creating visual narratives to bring new insight into the often obfuscated complexity of AI systems.

Examples 2020
Example interactive visualization articles:

Important Dates

August 24, 2020, anywhere: Explainables Submission
Sepember 24, 2020: Author Notification
October 13, 2020: Camera-ready Copy for Accepted Submissions
October 26, 2020: Workshop online at IEEE VIS 2020

Program Overview

All times in ET (UTC -5).

12:00 -- 12:05
Welcome from the Organizers
12:05 -- 1:00
Keynote: Thomas Wolf (Huggingface Inc.)
Facilitating Interactive Explanations with Open-source Libraries: An Introduction to Transfer Learning in NLP and HuggingFace
1:00 -- 1:30
Session I
Comparing DNNs with UMAP Tour
Mingwei Li and Carlos Scheidegger
How Does a Computer "See" Gender?
Stefan Wojcik, Emma Remy, and Chris Baronavski
1:30 -- 2:00
Break
2:00 -- 2:30
Session II
Théo Guesser
Théo Jaunet, Romain Vuillemot, and Christian Wolf
Shared Interest: Human Annotations vs. AI Saliency
Angie Boggust, Benjamin Hoover, Arvind Satyanarayan, and Hendrik Strobelt
2:30 -- 3:00
Session III
3:00 -- 3:05
Closing Session
3:05 -- 4:00
VISxAI Eastcoast party

Hall of Fame

Each year we award Best Submissions and Honorable Mentions. Congrats to our winners!

VISxAI 2020
Comparing DNNs with UMAP Tour Mingwei Li and Carlos Scheidegger
How Does a Computer "See" Gender? Stefan Wojcik, Emma Remy, and Chris Baronavski
VISxAI 2018
A Visual Exploration of Gaussian Processes Jochen Görtler, Rebecca Kehlbeck and Oliver Deussen
Roads from Above Greg More, Slaven Marusic and Caihao Cui

Organizers (alphabetic)

Adam Perer - Carnegie Mellon University
Duen Horng (Polo) Chau - Georgia Tech
Fernanda Viégas - Google Brain
Fred Hohman - Georgia Tech
Hendrik Strobelt - MIT-IBM Watson AI Lab
Mennatallah El-Assady - University of Konstanz
Steering Committee

Program Committee and Reviewers

Marco Angelini
Jürgen Bernard
Nan Cao
Dylan Cashman
Marco Cavallo
Jaegul Choo
Tommy Dang
Angus Forbes
Sebastian Gehrmann
Fred Hohman
Iris Howley
Denis Parra
Arjun Srinivasan
Yang Wang