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Poster
Thu 14:00 Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Mateo Espinosa Zarlenga · Pietro Barbiero · Gabriele Ciravegna · Giuseppe Marra · Francesco Giannini · Michelangelo Diligenti · Zohreh Shams · Frederic Precioso · Stefano Melacci · Adrian Weller · Pietro Lió · Mateja Jamnik
Poster
Thu 14:00 Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein · Nitsan levy · Lucy Liu · Yoav Kolumbus · David Parkes · Jeffrey S Rosenschein · Sarah Keren
Poster
Tue 14:00 On Computing Probabilistic Explanations for Decision Trees
Marcelo Arenas · Pablo Barceló · Miguel Romero Orth · Bernardo Subercaseaux
Poster
Wed 14:00 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Mohammad Reza Taesiri · Giang Nguyen · Anh Nguyen
Workshop
Sat 10:30 Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification
Daniel Krakowczyk · David Robert Reich · Paul Prasse · Sebastian Lapuschkin · Lena A. Jäger · Tobias Scheffer
Workshop
Take 5: Interpretable Image Classification with a Handful of Features
Thomas Norrenbrock · Marco Rudolph · Bodo Rosenhahn
Workshop
Fri 5:34 Panel 1: Explainable AI (XAI)
Workshop
What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML
Varshini Subhash · Zixi Chen · Marton Havasi · Weiwei Pan · Finale Doshi-Velez
Workshop
Fri 12:53 What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML
Varshini Subhash · Zixi Chen · Marton Havasi · Weiwei Pan · Finale Doshi-Velez
Workshop
Social Construction of XAI: Do We Need One Definition to Rule Them All?
Upol Ehsan · Mark Riedl
Workshop
Fri 5:35 Closing the Creator-Consumer Gap in XAI: A Call for Participatory XAI Design with End-users. Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andres Monroy-Hernandez
Workshop
Science Communications for Explainable AI (XAI)
Simon Hudson · Matija Franklin