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Workshop

XAI in Action: Past, Present, and Future Applications

Chhavi Yadav ⋅ Michal Moshkovitz ⋅ Nave Frost ⋅ Suraj Srinivas ⋅ Bingqing Chen ⋅ Valentyn Boreiko ⋅ Himabindu Lakkaraju ⋅ J. Zico Kolter ⋅ Dotan Di Castro ⋅ Kamalika Chaudhuri
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Abstract

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Schedule

Timezone: America/Los_Angeles
6:50 AM
Opening Remarks
8:00 AM
Coffee & Games
9:00 AM
Panel Discussion
Leilani Gilpin ⋅ Shai Ben-David ⋅ Julius Adebayo ⋅ Sameer Singh ⋅ Su-In Lee ⋅ Kamalika Chaudhuri
10:00 AM
Lunch
12:00 PM
Poster Session 1
12:01 PM
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
Kenza Amara ⋅ Mennatallah El-Assady ⋅ Rex Ying
12:01 PM
FRUNI and FTREE synthetic knowledge graphs for evaluating explainability
Pablo Sanchez-Martin ⋅ Tarek R. Besold ⋅ Priyadarshini Kumari
12:01 PM
Explainable AI in Music Performance: Case Studies from Live Coding and Sound Spatialisation
Jack Armitage ⋅ Nicola Privato ⋅ Victor Shepardson ⋅ Celeste Betancur Gutierrez
12:01 PM
Towards Explanatory Model Monitoring
Alexander Koebler ⋅ Thomas Decker ⋅ Michael Lebacher ⋅ Ingo Thon ⋅ Volker Tresp ⋅ Florian Buettner
12:01 PM
Lessons from Usable ML Deployments Applied to Wind Turbine Monitoring
Alexandra Zytek ⋅ Wei-En Wang ⋅ Sofia Koukoura ⋅ Kalyan Veeramachaneni
12:01 PM
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael ⋅ Walter Scheirer
12:01 PM
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
Aliyah Hsu ⋅ Yeshwanth Cherapanamjeri ⋅ Briton Park ⋅ Tristan Naumann ⋅ Anobel Odisho ⋅ Bin Yu
12:01 PM
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Yang Zhang ⋅ Yawei Li ⋅ Hannah Brown ⋅ Mina Rezaei ⋅ Bernd Bischl ⋅ Philip Torr ⋅ Ashkan Khakzar ⋅ Kenji Kawaguchi
12:01 PM
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
Yong-Hyun Park ⋅ Junghoon Seo ⋅ 범석 박 ⋅ Seongsu Lee ⋅ Junghyo Jo
12:01 PM
Are VideoQA Models Truly Multimodal?
Ishaan Singh Rawal ⋅ Shantanu Jaiswal ⋅ Basura Fernando ⋅ Cheston Tan
12:01 PM
COMET: Cost Model Explanation Framework
Isha Chaudhary ⋅ Alex Renda ⋅ Charith Mendis ⋅ Gagandeep Singh
12:01 PM
Interactive Visual Feature Search
Devon Ulrich ⋅ Ruth Fong
12:01 PM
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Ričards Marcinkevičs ⋅ Sonia Laguna ⋅ Moritz Vandenhirtz ⋅ Julia Vogt
12:01 PM
Estimation of Concept Explanations Should be Uncertainty Aware
Vihari Piratla ⋅ Juyeon Heo ⋅ Sukriti Singh ⋅ Adrian Weller
12:01 PM
Optimising Human-AI Collaboration by Learning Convincing Explanations
Alex Chan ⋅ Alihan Hüyük ⋅ Mihaela van der Schaar
12:01 PM
Inherent Inconsistencies of Feature Importance
Nimrod Harel ⋅ Uri Obolski ⋅ Ran Gilad-Bachrach
12:01 PM
ExpLIMEable: An exploratory framework for LIME
Sonia Laguna ⋅ Julian Heidenreich ⋅ Jiugeng Sun ⋅ Nilüfer Cetin ⋅ Ibrahim Al Hazwani ⋅ Udo Schlegel ⋅ Furui Cheng ⋅ Mennatallah El-Assady
12:01 PM
Influence Based Approaches to Algorithmic Fairness: A Closer Look
Soumya Ghosh ⋅ Prasanna Sattigeri ⋅ Inkit Padhi ⋅ Manish Nagireddy ⋅ Jie Chen
12:01 PM
Explaining black box text modules in natural language with language models
Chandan Singh ⋅ Aliyah Hsu ⋅ Richard Antonello ⋅ Shailee Jain ⋅ Alexander Huth ⋅ Bin Yu ⋅ Jianfeng Gao
12:01 PM
Use Perturbations when Learning from Explanations
Juyeon Heo ⋅ Vihari Piratla ⋅ Matthew Wicker ⋅ Adrian Weller
12:01 PM
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Gabriel Kasmi ⋅ Laurent Dubus ⋅ Yves-Marie Saint-Drenan ⋅ Philippe BLANC
1:00 PM
Coffee & Games
2:01 PM
Emergence of Segmentation with Minimalistic White-Box Transformers
Yaodong Yu ⋅ Tianzhe Chu ⋅ Shengbang Tong ⋅ Ziyang Wu ⋅ Druv Pai ⋅ Sam Buchanan ⋅ Yi Ma
2:07 PM
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models
Roland S. Zimmermann ⋅ Thomas Klein ⋅ Wieland Brendel
2:14 PM
On Evaluating Explanation Utility for Human-AI Decision-Making in NLP
Fateme Hashemi Chaleshtori ⋅ Atreya Ghosal ⋅ Ana Marasovic
2:21 PM
Understanding Scalable Perovskite Solar Cell Manufacturing with Explainable AI
Lukas Klein ⋅ Sebastian Ziegler ⋅ Felix Laufer ⋅ Charlotte Debus ⋅ Markus Götz ⋅ Klaus Maier-Hein ⋅ Ulrich Paetzold ⋅ Fabian Isensee ⋅ Paul Jaeger
A Critical Survey on Fairness Benefits of XAI
Luca Deck ⋅ Jakob Schoeffer ⋅ Maria De-Arteaga ⋅ Niklas Kuehl
Exploring Practitioner Perspectives On Training Data Attribution Explanations
Elisa Nguyen ⋅ Evgenii Kortukov ⋅ Jean Song ⋅ Seong Joon Oh
Explaining high-dimensional text classifiers
Odelia Melamed ⋅ Rich Caruana
Sum-of-Parts Models: Faithful Attributions for Groups of Features
Weiqiu You ⋅ Helen Qu ⋅ Marco Gatti ⋅ Bhuvnesh Jain ⋅ Eric Wong
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
Anna Hedström ⋅ Leander Weber ⋅ Sebastian Lapuschkin ⋅ Marina Höhne
On the Consistency of GNN Explainability Methods
Ehsan Hajiramezanali ⋅ Sepideh Maleki ⋅ Alex Tseng ⋅ Aicha BenTaieb ⋅ Gabriele Scalia ⋅ Tommaso Biancalani
Transparent Anomaly Detection via Concept-based Explanations
Laya Rafiee Sevyeri ⋅ Ivaxi Sheth ⋅ Farhood Farahnak ⋅ Shirin Abbasinejad Enger
Robust Recourse for Binary Allocation Problems
Meirav Segal ⋅ Anne-Marie George ⋅ Ingrid Yu ⋅ Christos Dimitrakakis
Are Large Language Models Post Hoc Explainers?
Nicholas Kroeger ⋅ Dan Ley ⋅ Satyapriya Krishna ⋅ Chirag Agarwal ⋅ Himabindu Lakkaraju
Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein ⋅ Yinjun Wu ⋅ Eric Wong ⋅ Mayur Naik
Explainable Alzheimer’s Disease Progression Prediction using Reinforcement Learning
Raja Farrukh Ali ⋅ Ayesha Farooq ⋅ Emmanuel Adeniji ⋅ John Woods ⋅ Vinny Sun ⋅ William Hsu
Explaining Longitudinal Clinical Outcomes using Domain-Knowledge driven Intermediate Concepts
Sayantan Kumar ⋅ Thomas Kannampallil ⋅ Aristeidis Sotiras ⋅ Philip Payne
Visual Topics via Visual Vocabularies
Shreya Havaldar ⋅ Weiqiu You ⋅ Lyle Ungar ⋅ Eric Wong
Interactive Model Correction with Natural Language
Yoonho Lee ⋅ Michelle Lam ⋅ Helena Vasconcelos ⋅ Michael Bernstein ⋅ Chelsea Finn
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi ⋅ Krikamol Muandet ⋅ Simon Kornblith ⋅ Bernhard Schölkopf ⋅ Been Kim
ReLax: An Efficient and Scalable Recourse Explanation Benchmarking Library using JAX
Hangzhi Guo ⋅ Xinchang Xiong ⋅ Wenbo Zhang ⋅ Amulya Yadav
Caution to the Exemplars: On the Intriguing Effects of Example Choice on Human Trust in XAI
Tobias Leemann ⋅ Yao Rong ⋅ Thai-Trang Nguyen ⋅ Dr. Enkelejda Kasneci ⋅ Gjergji Kasneci
Policy graphs in action: explaining single- and multi-agent behaviour using predicates
Sergio Alvarez-Napagao ⋅ Adrián Tormos ⋅ Victor Gimenez-Abalos ⋅ Dmitry Gnatyshak
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection
Noah Ziems ⋅ Gang Liu ⋅ John Flanagan ⋅ Meng Jiang
Cost-aware counterfactuals for black box explanations
Natalia Martinez ⋅ Kanthi Sarpatwar ⋅ Sumanta Mukherjee ⋅ Roman Vaculin
The Disagreement Problem in Faithfulness Metrics
Brian Barr ⋅ Noah Fatsi ⋅ Leif Hancox-Li ⋅ Peter Richter ⋅ Daniel Proano
Empowering Domain Experts to Detect Social Bias in Generative AI with User-Friendly Interfaces
Roy Jiang ⋅ Rafal Kocielnik ⋅ Adhithya Prakash Saravanan ⋅ Pengrui Han ⋅ R. Michael Alvarez ⋅ Animashree Anandkumar
Do Concept Bottleneck Models Obey Locality?
Naveen Raman ⋅ Mateo Espinosa Zarlenga ⋅ Juyeon Heo ⋅ Mateja Jamnik
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Avinash Kori ⋅ Ben Glocker ⋅ Francesca Toni