JOURNAL ARTICLE

Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition)

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.

Keywords:
Computer science Human–computer interaction Artificial intelligence Cognitive science Psychology

Metrics

1
Cited By
4.82
FWCI (Field Weighted Citation Impact)
7
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Explainable Artificial Intelligence (XAI)
Physical Sciences →  Computer Science →  Artificial Intelligence
Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management

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