人格进化：设计基于大语言模型的伦理对话代理人格
Personas Evolved: Designing Ethical LLM-Based Conversational Agent Personalities
AI总结：
针对基于大语言模型的对话代理人格引发的伦理问题，本研讨会旨在通过跨学科对话，制定伦理准则与框架，以促进透明、包容且以用户为中心的交互设计。
摘要：
大语言模型（LLM）的出现彻底改变了对话式用户界面（CUI），使其能够在从社会科学到医疗保健等各个领域实现更具动态性、上下文感知和类人化的交互。然而，基于LLM的人格快速采用引发了关键的伦理和实践问题，包括偏见、操纵和不可预见的社会后果。与传统CUI中人格经过精心设计且意图明确不同，基于LLM的人格从海量数据集中动态生成响应，使其行为更不可预测且难以管控。本研讨会旨在通过促进关于基于LLM的人格负责任设计与评估的跨学科对话，弥合CUI与更广泛AI社区之间的鸿沟。汇集研究人员、设计师和从业者，我们将探索最佳实践，制定伦理准则，并推广确保透明度、包容性和以用户为中心交互的框架。通过协作应对这些挑战，我们力求以符合社会价值观和期望的方式塑造LLM驱动的CUI的未来。
英文摘要：
The emergence of Large Language Models (LLMs) has revolutionized Conversational User Interfaces (CUIs), enabling more dynamic, context-aware, and human-like interactions across diverse domains, from social sciences to healthcare. However, the rapid adoption of LLM-based personas raises critical ethical and practical concerns, including bias, manipulation, and unforeseen social consequences. Unlike traditional CUIs, where personas are carefully designed with clear intent, LLM-based personas generate responses dynamically from vast datasets, making their behavior less predictable and harder to govern. This workshop aims to bridge the gap between CUI and broader AI communities by fostering a cross-disciplinary dialogue on the responsible design and evaluation of LLM-based personas. Bringing together researchers, designers, and practitioners, we will explore best practices, develop ethical guidelines, and promote frameworks that ensure transparency, inclusivity, and user-centered interactions. By addressing these challenges collaboratively, we seek to shape the future of LLM-driven CUIs in ways that align with societal values and expectations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
