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1st International Workshop on
Biomedical Image and Signal Computing for
Unbiasedness, Interpretability, and Trustworthiness
October 19, 2025, Room 302B - 9 AM to 12 PM HST
About this workshop 🍪
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 your Paper! 🧑💻
Submit via OpenReview. More information can be found in our Call for Papers.
Keynote Speakers 🎤
University of Paris Saclay
TU Darmstadt
Adobe
Northeastern University
SCHEDULE 🕘
The workshop will take place in Room 302B on October 19 morning, from 9 AM to 12 PM. The poster session will be located in Exhibit Hall II, in slots 118-127, from 12 PM to 12:30 PM.
09:00 - 👟Welcome & Opening Remarks
09:10 - ⭐Invited Talk: Maria Vakalopoulou (CentraleSupèlec, University of Paris-Saclay)
"Fairness and Biases in Medical Foundation models"09:45 - ⭐Invited Talk: Stefan Roth (TU Darmstadt)
"Trustworthiness & interpretability — From out-of-distribution inputs to absent concepts"10:20 - 🎤Best Paper Oral Presentation: Suhyun Ahn (KAIST)
"Are Medical Image Generative Models Biologically Trustworthy?"10:35 - ☕Coffee break
10:45 - ⭐Invited Talk: Kushal Kafle (Adobe Research)
"Understanding and mitigating model bias in the age of large models"11:20 - ⭐Invited Talk: David Bau (Northeastern University's Khoury College)
"Tracing LLM Medical Knowledge Through Vignettes"11:55 - 👋 Closing Remarks
12:00 - 📌 Poster Session (in Exhibit Hall II, slots 118-127)
Organizers ✏️
KTH Royal Institute of Technology (previously Sapienza University of Rome)
Technical University of Munich
Meta (previously MIT)
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
Associate Organizers 🤝
Sapienza University of Rome
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