Workshops: VISxAI: 9th Workshop on Visualization for AI Explainability
Organizers: Alex Bäuerle, Angie Boggust, Catherine Yeh, Fred Hohman, Mennatallah El-Assady, Hendrik Strobelt
The VISxAI workshop, throughout its past eight iterations, has been a platform for knowledge exchange between researchers with different backgrounds interested in explaining machine learning models through visualization. Its focus on explainables submissions that visually and interactively explain machine learning concepts ranges in complexity from clustering methods to algorithmic biases. These explainables have served as educational resources that have had an impact beyond the academic community. The workshop also always hosted great keynote speakers that connected the domains of visualization and state-of-the-art machine learning and explored the impact visualization can have on explainability. Following the success of VISxAI’25, our goal for this upcoming iteration of VISxAI is to combine strong interactive explainables and great presentations with the interactivity of breakout sessions and live demos. Participants will be encouraged to exchange ideas about the future of visual explainability, interactive articles, and explorable explanations. Furthermore, we will provide a platform for new visualization and interaction ideas that explain machine learning models.