LLMs as Historical Actors: How AI Systems Influence the Web's Evolution

The history of the web has been defined by a series of revolutionary developments, from the advent of HTML and web browsers to the explosion of social media and cloud computing. Throughout this evolution, human actors have played pivotal roles, serving as developers, technologists, and innovators who have guided the trajectory of the Internet. However, the emergence of Large Language Models (LLMs), such as OpenAI's GPT series, represents a paradigm shift. These AI systems are not merely tools for humans but are increasingly becoming autonomous agents that shape the flow of information on the web. In this paper, we argue that LLMs can be framed as historical actors, meaning they are not only facilitators of human endeavors but also independent forces that influence the web's evolution. We explore how these AI systems direct the flow of information, shape public discourse, and may influence future interpretations of web-based history.

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Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3716842
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
0.00

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article

LLMs as Historical Actors: How AI Systems Influence the Web's Evolution

Jian Yang, Mark Dras, Amin Beheshti, Usman Naseem et al.
Artificial Intelligence in Law
article

LLMs as Historical Actors: How AI Systems Influence the Web's Evolution

Jian Yang, Mark Dras, Amin Beheshti, Usman Naseem, Jungeun Kim, Junaid Rashid
article en

Abstract

The history of the web has been defined by a series of revolutionary developments, from the advent of HTML and web browsers to the explosion of social media and cloud computing. Throughout this evolution, human actors have played pivotal roles, serving as developers, technologists, and innovators who have guided the trajectory of the Internet. However, the emergence of Large Language Models (LLMs), such as OpenAI's GPT series, represents a paradigm shift. These AI systems are not merely tools for humans but are increasingly becoming autonomous agents that shape the flow of information on the web. In this paper, we argue that LLMs can be framed as historical actors, meaning they are not only facilitators of human endeavors but also independent forces that influence the web's evolution. We explore how these AI systems direct the flow of information, shape public discourse, and may influence future interpretations of web-based history.

Inha University (KR), Sejong University (KR), Macquarie University (AU)
National Research Foundation, National Research Foundation of Korea, Iran Telecommunication Research Center, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 87%
Artificial Intelligence in Law
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