发表机构
Oxford Internet Institute, University of Oxford; Data Science Institute, London School of Economics and Political Science（牛津互联网研究所，牛津大学; 数据科学研究所，伦敦政治经济学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
基于对英国2002名成年人的全国代表性调查，本研究揭示了公众对大型语言模型的使用、信任及态度，发现实际应用为主，个人支持普遍，信任度较高，且乐观与担忧并存。
AI 中文摘要
如今，越来越多的人在日常生活、工作场所、教育环境以及个人活动中经常与大型语言模型（LLMs）互动。近年来，这些工具在社会中的普及速度之快，已导致人们处理任务、获取信息和咨询建议的方式发生了重大转变。因此，研究人员和政策制定者获取关于公众如何接触这些技术的最新证据至关重要，包括人们通常使用它们做什么、用户在多大程度上信任LLMs提供的信息和建议，以及公众如何看待使用这些工具可能带来的益处和风险。我们对英国具有全国代表性的2002名成年人进行了调查。参与者被问及他们对LLMs的使用情况，包括实际应用以及更个人化和社交化的参与形式；他们对这些系统在广泛话题上提供的信息的信任程度，并与其他常见信息来源进行比较；以及他们对这些工具可能带来的社会益处和风险的态度。结果显示，虽然实际任务仍然是最常见的LLM使用类型，但许多人现在使用这些工具来获得个人支持。近三分之一的经常使用者（31%）表示，他们使用LLMs来获得个人和情感支持，例如讨论问题和寻求决策帮助，而四分之一的人表示他们会与LLMs进行有意义的对话。我们还发现，对LLM生成信息的信任度相对较高，但公众对LLMs的态度同时表现出乐观和担忧。虽然我们样本中超过四分之三的人（77%）表示对LLMs的潜在益处感到热情，但大多数人（70%）也对其潜在风险表示担忧。
英文摘要
Increasing numbers of people now routinely interact with large language models (LLMs) across many aspects of life, including in the workplace, educational settings, and for personal activities. The pace at which these tools have been adopted across society in recent years has led to substantial shifts in the ways in which people approach tasks and access information and advice. As a result, it is important for researchers and policymakers to gain up-to-date evidence on how the public engages with these technologies, including what people typically use them for, the extent to which users trust the information and advice that LLMs provide, and how the public perceives the potential benefits and risks associated with their use. We surveyed a nationally representative sample of 2,002 adults in the UK. Participants were asked about their use of LLMs, including both practical applications and more personal and social forms of engagement, their trust in the information provided by these systems across a range of topics and compared with other common sources, and their attitudes towards the potential societal benefits and risks associated with these tools. Results show that while practical tasks remain the most common type of LLM use, many people now engage with these tools for personal support. Almost one third of regular users (31%) say they use LLMs for personal and emotional support, such as talking through problems and asking for help with decisions, while one quarter report interacting with LLMs for meaningful conversation. We also find that trust in LLM-generated information is relatively high, but that public attitudes towards LLMs are characterised by both optimism and concern. While over three quarters of our sample report feeling enthusiastic about the potential benefits of LLMs (77%), a majority also express concern about their potential risks (70%).
