2 Parallel Sessions

Session 1 at Long Table “Explanations in Context: Foundations and Concepts” (Chair: Ingrid Scharlau)

Context-Aware Explainability in AI-Powered Language Education: The CURIPOD (Dilsah Kalay)

The Principal’s Principles: Actionable (Personalized) AI Alignment as Underexplored XAI (Kevin Baum, Richard Bergs, Holger Hermanns, Sophie Kerstan, Markus Langer, Anne Lauber-Rönsberg, Philip Meinel, Laura Stenzel, Sarah Sterz and Hanwei Zhang)

Development of a Human Knowledge Integrated Workflow for Context-aware Machine Learning (Bahavathy Kathirgamanathan, Gennady Andrienko and Natalia Andrienko)

Framing what and how to think: Lay people’s metaphors for algorithms (Philip Porwol, Miriam Körber, Friederike Kern, Carsten Schulte and Ingrid Scharlau)

BFO-based Ontology of Context for Social XAI (Meisam Booshehri, Hendrik Buschmeier and Philipp Cimiano)
 

Session 2 at Plenary Hall “User Studies in Explainability” (Chair: Hendrik Buschmeier)

Co-Constructive Behavior of Large Language Models in Explanation Dialogues (Leandra Fichtel, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez, Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, Amelie Robrecht, Ingrid Scharlau, Lutz Terfloth, Anna-Lisa Vollmer and Henning Wachsmuth)

Cognitive and Interactive Adaptivity to the Explainee in an Explanatory Dialogue: An Experimental Study (Heike M. Buhl, Josephine B. Fisher and Katharina J. Rohlfing)

Contextualizing Counterfactuals: Gender Differences in Alignment with Biased (X)AI (Ulrike Kuhl and Annika Bush)

Explaining to and Being Explained by a Service Robot: Four HRI Studies Revisited Under a Framework for Explainability (Anna Belardinelli, Chao Wang, Daniel Tanneberg, Matti Krüger, Stephan Hasler and Michael Gienger)

Contextualizing Explanations in Fluid Collaboration (Florian Schröder, Fabian Heinrich and Stefan Kopp)

2 Parallel Sessions

Session 5 at Long Table “Explaining ML Models” (Chair: Henning Wachsmuth)

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models (Valerie Krug and Sebastian Stober)

Contextualizing Explainability of Learning-Path Recommendations through Knowledge Graphs and Graph-based MDP (Hasan Abu-Rasheed and Christian Weber)

Using SHAP for Feature Importance in Predicting Axelrod Tournament Winners (Oleksii Ignatenko and Dimitriy Yevchenko)

Explainable Text Clustering in the Context of Psychological Research (Luis Klocke and Benjamin Paaßen)
 

Session 6 at Plenary Hall “User Studies in Explainability” (Chair: Stefan Kopp)

Human-Centered and Contextual Assessment of Human-AI Decision-Making Interventions (Seham Nasr and David Johnson)

The Influence of Individual Traits and Stress on Expressions Related to Understanding and Confusion (Leonard Krause, Jonas Paletschek, David Johnson and Hanna
Drimalla)

Towards Co-Constructed Explanations: Multi-Agent Reasoning-Based Conversational System for Adaptive Explanations (Dimitry Mindlin, Meisam Booshehri and Philipp Cimiano)

Socially-Aware Robot Explanations: Inferring Needs from Human Facial Expressions (Dimosthenis Kontogiorgos and Julie Shah)

2 Parallel Sessions

Session 3 at Long Table “Explaining ML Models” (Chair: Petra Wagner)

Stability of Model Explanations in Interpretable Prototype-based Classification Learning (Subhashree Panda, Marika Kaden and Thomas Villm)

Inherently Explainable Hierarchical Generalized Learning Vector Quantization Model (Adia Khalid and Benjamin Paaßen)

Conceptual Metaphors on LLM-based NLI through Shapley Interactions (Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Debanjan Ghosh and Henning Wachsmuth)

Towards Symbolic XAI — Explanation through Human Understandable Logical Relationships Between Features (Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon and Klaus-Robert Müller)
 

Session 4 at Plenary Hall “Explanations in Context: Foundations and Concepts” (Chair: Friederike Kern)

The Context as Resource: Contextual Adaptations and Explanations in the Field (Fabian Beer and Elena Esposito)

Emerging Categories in Scientific Explanations (Giacomo Magnifico and Eduard Barbu)

Context-dependent Effects of Explanations on Multiple Layers of Trust (Eda Ismail-Tsaous, Matthias Uhl, Celine Spannagl, Sebastian Krügel and Ute Schmid)

A Framework for Context-aware XAI in Human-AI Collaboration (Judith Knoblach, Bettina Finzel and Ute Schmid)