大模型当搜索引擎，会带来哪些社会问题？
Large Language Models as Search Engines: Societal Challenges
- 分析大模型替代搜索引擎带来的15类社会挑战
- 提出技术与法律双视角的应对策略
- 适合关注AI伦理与信息生态的研究者
大型语言模型（LLMs）未来可能取代搜索引擎成为获取网络信息的主要入口。本文探讨这一转变可能引发的社会挑战，重点关注模型提供方、内容创作者和终端用户三方角色，识别出15类具体挑战。针对每类挑战，从技术和法律两个层面展示现有缓解措施，并讨论其影响，同时指明未来研究方向。
原文摘要 · Abstract (English)
Large Language Models (LLMs) may one day replace search engines as the primary portal to information on the Web. In this article, we investigate the societal challenges that such a change could bring. We focus on the roles of LLM Providers, Content Creators, and End Users, and identify 15 types of challenges. With each, we show current mitigation strategies -- both from the technical perspective and the legal perspective. We also discuss the impact of each challenge and point out future research opportunities.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。