20 October (Sunday)
Registration desk open from 8:15
9:00–10:30
9:00 – 9:10, Opening (Philipp Cimiano, Zach Anthis, Jose Maria Alonso)
9:10 – 10:10, Plenary Talk 1: What models "see" and what they "say" – Explaining multimodal models' visual grounding abilities (Albert Gatt)
10:10 – 10:30, Q&A Discussion
10:30–11:00
11:00–12:40
I. Interactive and user-centered XAI methods (Chair: Philipp Cimiano)
11:00 – 11:15, Presentation paper 1: “A Human-Centered Recommendation Tool for Explainable AI Solutions” (Presenter: Nils Ole Breuer)
11:15 – 11:30, Presentation paper 2: “What to Explain and How? The Challenges and Future of Using Large Language Models to Generate Explanations for Lawyers in Autonomous Car Accidents” (Presenter: Hazel Taylor)
11:30 – 11:45, Presentation paper 3: “ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing” (Presenter: Dominik Battefeld)
11:45 – 12:00, Q&A Discussion
II. Multimodal and affective XAI (Chair: Alejandro Catalá)
12:00 – 12:15, Presentation paper 4: “Towards AI-mediated Meme Generation for Misinformation Corrective Explanation” (Presenter: Filipe Altoe)
12:15 – 12:30, Presentation paper 5: “EmoGraphArt: a knowledge graph for representing and explaining emotions in abstract paintings” (Presenter: Rafael Berlanga)
12:30 – 12:40, Q&A Discussion
12:40–14:00
14:00–15:30
14:00 – 15:00, Plenary Talk 2: Harnessing Explainable AI for Informed Decision Making in Healthcare (Konstantia Zarkogianni)
15:00 – 15:30, Q&A Discussion
15:30–16:00
16:00–17:15
III. Methodological Foundations (Chair: Eyke Hüllermeier)
16:00 – 16:15, Presentation paper 6: “From Feature Importance to Natural Language Explanations Using LLMs” (Presenter: Sule Tekkesinoglu)
16:15 – 16:30, Presentation paper 7: “An approach to Evaluative AI through Large Language Models” (Presenter: Andrea Ermellino)
16:30 – 16:45, Presentation paper 8: “Explainable Artificial Intelligence: An Overview on Hybrid Models” (Presenter: Gabriel Quesada Álvarez)
16:45 – 17:00, Presentation paper 9: “DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models” (Presenter: Zijian Zhang)
17:00 – 17:15, Q&A Discussion
17:15–17:30
Services
Lunch provided on location (included in registration)
Coffee and refreshments provided during coffee breaks
Participants will have to vacate the building by 18:30.