About the Workshop

This workshop will follow on from the very successful ExSS 2018 workshop held at IUI. It will bring together researchers in academia and industry who have an interest in making smart systems explainable to users and therefore more intelligible and transparent. This topic has attracted increasing interest to provide glimpses into the black-box behavior of these systems in order to provide more effective steering or training of the system, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating smart systems that use or provide explanations of their behavior.

Keynote Speaker: Margaret Burnett

Margaret BurnettMargaret Burnett is an OSU Distinguished Professor at Oregon State University. She began her career in industry, where she was the first woman software developer ever hired at Procter & Gamble Ivorydale. A few degrees and start-ups later, she joined academia, with a research focus on people who are engaged in some form of software development. Together with her collaborators and students, she has contributed some of the seminal work on explaining AI to ordinary end users. She also co-founded the area of end-user software engineering, which aims to improve software for computer users that are not trained in programming, and leads the team that created GenderMag, a software inspection process that uncovers gender biases in software from spreadsheets to programming environments. Burnett is an ACM Fellow, a member of the ACM CHI Academy, an award-winning mentor, and serves on the Academic Alliance Advisory Board of the National Center for Women In Technology (NCWIT).

Explaining AI Fairly (Well)

How can the field of Explainable AI (XAI) get from where we are now, explaining some aspects of AI fairly well, to where we need to be—explaining AI fairly and well? In this keynote, I’ll talk about three critical challenges to our field, focusing especially on the third of these: explaining AI fairly.

Tentative Schedule

Time Activity
09:00-09:15 Welcome address
09:15-10:15 Keynote talk by Prof. Margaret Burnett – “Explaining AI Fairly (Well)”
10:15-10:45 Paper Panel Session 1: Visualization and Attention

  • 18 min: 3 papers, 6 min each
  • 12 min: Q&A
10:45-11:00 Coffee Break
11:00-11.30 Paper Panel Session 2: Human-in-the-Loop
11:30-12:00 Paper Panel Session 3: Frameworks
12:00-12:30 Paper Panel Session 4: Real-world Systems and Industry
12:30-13:30 Lunch
13:30-14:00 Poster Session
14:00-15:00 Hands-on Activity 1

Affinity Diagramming for Definitions, Criteria, Objectives for ExSS

15:00-15:30 Hands-on activity 2

Application of existing frameworks to make an explainable recommender system

15:30-15:45 Coffee Break (Poster Session continued)
15:45-16:45 Hands-on activity 2 continued
16:45-17:00 Workshop Wrap-Up and Next Steps

Accepted Papers and Posters

We have 1 keynote, and 19 accepted papers (12 panel presentations and 7 posters). You may download the all accepted position papers for this workshop here.


Panel: Visualization and Attention

Panel: Human-in-the-Loop

Panel: Frameworks

Panel: Real-world Systems and Industry


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