7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025)

In recent years, adaptive and personalized systems, underpinned by cutting-edge technologies such as Large Language Models (LLMs), have emerged as pivotal forces in reshaping the digital landscape. These systems, seamlessly woven into the fabric of everyday life, manifest in diverse forms-from conversational agents that emulate human-like dialogue to recommendation algorithms that tailor content like music, films, and consumer products to individual preferences. Their pervasive integration into digital platforms has fundamentally altered the ways in which users engage with information, make decisions, and interact with technology, positioning them as indispensable tools in modern society. The transformative potential of these technologies lies in their ability to enhance user engagement, streamline content delivery, and support decision-making processes with unprecedented precision. However, as their influence continues to expand, so too does the urgency to confront critical challenges surrounding transparency, fairness, and user trust. ExUM workshop seeks to explore these pressing issues, advocating for a balanced approach that prioritizes not only technological efficacy but also ethical integrity and user empowerment.