Large Language Models as Search Engines: Societal Challenges

Fuente: arXiv
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Hauptverfasser: Sadeddine, Zacchary, Maxwell, Winston, Varoquaux, Gaël, Suchanek, Fabian M.
Format: Preprint
Veröffentlicht: 2025
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author Sadeddine, Zacchary
Maxwell, Winston
Varoquaux, Gaël
Suchanek, Fabian M.
author_facet Sadeddine, Zacchary
Maxwell, Winston
Varoquaux, Gaël
Suchanek, Fabian M.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2512_08946
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Large Language Models as Search Engines: Societal Challenges
Sadeddine, Zacchary
Maxwell, Winston
Varoquaux, Gaël
Suchanek, Fabian M.
Computers and Society
Computation and Language
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.
title Large Language Models as Search Engines: Societal Challenges
topic Computers and Society
Computation and Language
url https://arxiv.org/abs/2512.08946