大型语言模型可伪装成政治家及其他公共人物
摘要
现代人工智能技术，如大型语言模型（LLM），有可能通过虚构内容污染公共信息空间，这对整个社会的凝聚力构成重大威胁。广泛的研究表明，LLM能够生成质量令人印象深刻的文本，包括具有说服力的政治演讲、特定风格的文本以及角色相关的内容。但在文献中仍存在关键缺口：我们缺乏大规模且系统性的研究，探讨LLM在模仿政治及社会代表方面的能力，以及一般公众如何就这些模仿行为在真实性、相关性和连贯性方面进行判断。我们 presenting of a study based on a cross-section of British society that shows that LLMs are able to generate responses to debate questions that were part of a broadcast political debate programme in the UK. The impersonated responses are judged to be more authentic and relevant than the original responses given by people who were impersonated. This shows two things: (1) LLMs can be made to contribute meaningfully to the public political debate and (2) there is a dire need to inform the general public of the potential harm this can have on society.
引用
@article{arxiv.2407.12855,
title = {Large Language Models can impersonate politicians and other public figures},
author = {Steffen Herbold and Alexander Trautsch and Zlata Kikteva and Annette Hautli-Janisz},
journal= {arXiv preprint arXiv:2407.12855},
year = {2024}
}
备注
Under review