Workshop Overview

Large Language Models (LLMs) are transforming personalized services by enabling adaptive, context-aware recommendations and interactions. However, deploying these models at scale raises significant concerns about environmental impact, fairness, privacy, and trustworthiness, including high energy consumption, biased outputs, privacy breaches, and hallucinations.

LLM4Good is a half-day workshop dedicated to addressing these challenges by fostering dialogue on sustainable and ethical approaches to LLM-based personalization. The workshop brings together researchers and practitioners to discuss energy-efficient techniques, bias mitigation, privacy-preserving methods, and responsible deployment strategies. It also provides a forum for examining broader meta topics, including sustainable LLM design, trustworthy personalization approaches, innovative generative and conversational applications, novel evaluation methodologies, and the societal impact of these technologies. In alignment with the Sustainable Development Goals and Digital Humanism principles, LLM4Good aims to advance the development of trustworthy, human-centric LLM systems that can positively influence education, healthcare, and other key domains.

Further details about the workshop will be published soon! If you have any questions, feel free to contact us at llm4good25[ät]ds-ifs.tuwien.ac.at.