Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition)
Year: 2025
Type: conference-paper
Abstract: As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses on developing intelligent interfaces that can adaptively explain AI’s decision-making processes. Building on the success of our inaugural event at IUI 2024, this workshop continues to explore the intersection of Explainable AI and adaptive user interfaces, emphasizing the development of interfaces that dynamically adapt to create explanations that resonate with diverse users. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, we examine how emerging technologies such as conversational agents and Large Language Models can enhance AI explainability while ensuring explanations remain malleable and responsive to users’ evolving cognitive states and contextual needs.Citation - Tommaso Turchi, Alessio Malizia, Fabio Paternò, Simone Borsci, Alan Chamberlain, and Andrew Fish. 2025. Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). In Companion Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25 Companion). Association for Computing Machinery, New York, NY, USA, 172–174. https://doi.org/10.1145/3708557.3716159
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4408551013