The 1st edition of the BISCUIT (Biomedical Image and Signal Computing for Unbiasedness, Interpretability, and Trustworthiness) workshop will be hosted at ICCV'25 in Honolulu, Hawaii, USA 🌴🌊
This workshop is dedicated to the fundamental science and methodological rigor of Unbiasedness, Interpretability, and Trustworthiness (UIT) in AI.
We focus on exploring the core questions: from understanding the deep-seated origins of algorithmic and data bias 🔍, to advancing the science of interpretability💡, or building systems we can fundamentally rely on 🤝
We aim to unite researchers advancing these foundational aspects, showcasing novel methodologies, theoretical underpinnings, and rigorous evaluation techniques for UIT, rather than solely their downstream applications.
Finally, we will highlight the latest breakthroughs and chart future directions for creating inherently unbiased, truly interpretable, and verifiably trustworthy AI.
More info here.
Submit via OpenReview. More information can be found in our Call for Papers.
University of Paris Saclay
TU Darmstadt
University of L'Aquila
Adobe
Northeastern University
The workshop will take place on October 19 morning, from 9 AM up to 12:30 PM.
09:00 - 👟Welcome & Opening Remarks
09:10 - ⭐Invited Talk: Maria Vakalopoulou
09:45 - ⭐Invited Talk: Stefan Roth
10:20 - ⭐Invited Talk: Giuseppe Placidi
10:55 - 🎤Best Papers Oral Presentation
11:10 - ☕Coffee break
11:20 - ⭐Invited Talk: Kushal Kafle
11:55 - ⭐Invited Talk: David Bau
12:30 - 👋Closing remarks & Poster Presentations
Sapienza University of Rome
Technical University of Munich
Carnegie Mellon University
University of Udine
University of Udine
UC San Diego
Sapienza University of Rome
University of Udine
Sapienza University of Rome
University of Cambridge