Large Language Models as Search Engines: Societal Challenges

TL;DR

This paper explores the societal challenges posed by the potential shift from traditional search engines to large language models, analyzing roles, mitigation strategies, and future research directions.

Contribution

It provides a comprehensive analysis of societal challenges, current mitigation strategies, and future research opportunities related to LLMs replacing search engines.

Findings

Identifies 15 societal challenges of LLMs as search engines

Discusses current technical and legal mitigation strategies

Highlights future research directions

Abstract

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.