Artificial Intelligence (AI) is increasingly used to support decision-making or for automation. However, the technologies involved are often experienced as black boxes — the decisions made are rarely clear or transparent. Providing explanations to allow stakeholders to understand AI has thus become a societal concern. In response, the field of eXplainable AI (XAI) considers technical approaches to help people better understand the processes involved in automated decision-making and the results emerging from them. Thus, XAI promises to help open the black box of AI.
In this workshop, we invite participants to share their perspectives on XAI and data visualization.
How to attend
If you would like to attend our workshop, please register for the satellite conference (link to Eventbrite from the main page). During registration, you will get the chance to add a ticket for our workshop. If you already registered, you can still add workshop attendance.
Location: ScrollBar, ITU
Date: Wednesday October 27, 2021
The workshop is scheduled for the morning of Wednesday October 27, 2021 at ITU. We organize the workshop in two parts.
9.00-10.00: Welcome and introduction by participants
In the first part of the workshop, participants briefly introduce themselves, their work in relation to XAI and data visualization, and their motivation for participating in the workshop (up to three minutes per participant).
Slides are optional but need to be shared with the organisers as pdf 24 hours prior to the workshop (contact information below).
We will post the participant list and slides here as they are shared with us
10.20-12.00: Group discussions
In the second part, we group up according to themes emerging from the introductions, in terms of interests and perspectives. Themes can be anything from shared interest in a specific aspect of XAI, formulating concrete research questions, or potential collaborations around this topic. Workshop participants discuss individual themes in groups and reconvene at 11.30 to share group discussions with the other workshop participants.
- Søren Knudsen, IT University of Copenhagen
- Imke Grabe, IT University of Copenhagen
- Jichen Zhu, IT University of Copenhagen