*** Apologies for cross-posting *** ------------------------------------------------------ CALL FOR PAPERS: Adaptive eXplainable AI Workshop 2025 ------------------------------------------------------ We are delighted to announce the second edition of the Adaptive XAI (AXAI) Workshop, to be held in conjunction with ACM IUI 2025. As the integration of Artificial Intelligence into daily decision-making processes intensifies, the need for clear communication between humans and AI systems becomes crucial. This workshop is dedicated to exploring the design and development of intelligent interfaces that adaptively explain AI's decision-making processes, with a strong focus on human-centric principles. == Important Dates == * Submission Deadline: January 13, 2025 * Notification: January 27, 2025 * Camera Ready: February 10, 2025 * Workshop Date: March 24, 2025 == Submission Guidelines == * Length: 5-10 pages * Format: CEUR-ART 1-column Template * Submission Website: TBA == Workshop Focus == In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, this workshop seeks to explore, understand and develop interfaces that dynamically adapt, thereby creating explanations of AI-based systems that both relate to and resonate with a range of users with different explanation-based requirements. As AI's role in our lives becomes ever more embedded, the ways in which such systems explain elements about the system need to be malleable and responsive to the ever-evolving individual's cognitive state, relating to contextual needs/focus and to the social setting. == Topics == Building on the success of our first edition, we welcome submissions that address, but are not limited to, the following emerging trends and challenges: 1. **Personalized XAI Interfaces** - Adaptive systems responding to users' evolving needs - Context-aware explanation mechanisms - User modeling for explanation adaptation 2. **Novel Interaction Modalities for XAI** - Multimodal explanation interfaces - Immersive XAI experiences - Visual Languages for AI interaction 3. **Ethical Considerations in Adaptive XAI** - Transparency and trust - User autonomy - Fairness in adaptive systems 4. **Domain-Specific XAI Applications** - Healthcare - Finance - Autonomous systems 5. **Evaluation Methodologies** - Assessment frameworks for adaptive interfaces - User studies and empirical evaluations - Metrics for explanation quality 6. **Over-reliance and Automation Bias** - Maintaining appropriate user skepticism - Engagement strategies - Balance between trust and critical thinking 7. **LLMs in XAI** - Potential and limitations - Human-understandable explanation generation - Integration with existing XAI frameworks 8. **Interactive Machine Learning** - User-in-the-loop systems - Real-time adjustments - Dynamic explanation generation 9. **Hybrid Decision-Making Frameworks** - Human-AI collaboration - Adaptive explanation support - Knowledge integration == Organizers == * Tommaso Turchi, University of Pisa * Alessio Malizia, University of Pisa * Fabio Paternò, CNR-ISTI, Pisa * Simone Borsci, University of Twente * Alan Chamberlain, University of Nottingham * Andrew Fish, University of Liverpool For more information, please visit our website at https://axai.trx.li or contact Tommaso Turchi (tommaso.turchi(a)unipi.it). Join us in Cagliari, Sardinia (Italy) to shape the future of human-AI interaction! //==============================\\ Tommaso Turchi Department of Computer Science University of Pisa \\==============================//