The proceedings of DAO-XAI IV have been published as part of the IAOA series and can be accessed here: https://ceur-ws.org/Vol-3833/

The accepted papers cover topics such as knowledge-infused explanations, ontology development for AI readiness, hybrid question answering models, and interpretable classifiers. Each contribution highlights the integration of ontological and data-driven methods to advance the interpretability of AI systems.

Accepted Papers 

• Susana Nunes and Catia Pesquita. Drug Repurposing Hypothesis Validation with Knowledge-infused Explanations

• Meisam Booshehri, Hendrik Buschmeier and Philipp Cimiano. Towards a BFO-based Ontology of Understanding in Explanatory Interactions

• Vincent Armant, Amira Mouakher, Felipe Vargas-Rojas, Danai Symeonidou, Joris Guérin, Isabelle Mougenot and Desconnets Jean-Christophe. Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully?

• Martin Thomas Horsch, Silvia Chiacchiera, Ilian Todorov, Ana Teresa Correia, Aditya Dey, Natalia Konchakova, Sebastian Scholze, Simon Stephan, Kristin Tøndel, Arkopaul Sarkar, M. Hedi Karray, Fadi Al Machot and Björn Schembera. Exploration of key concepts required for mid- and domain-level ontology development to facilitate explainable-AI-readiness of data and models

• Ricardo Miguel Serafim de Carvalho, Catia Pesquita and Andreia Sofia Teixeira. Building a Temporal Knowledge Graph for Electronic Health Records

• Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh and Miikka Vilander. Interpretable classifiers for tabular data via feature selection and discretization

• Tianda Sun, Jamie Carr and Dimitar Kazakov. A Hybrid Question Answering Model with Ontological Integration for Environmental Information