The Shaping of Scientific Language and Discourse by AI

Introduction

The field of scientific research is undergoing significant changes with the increasing influence of Artificial Intelligence (AI) on language and discourse. Recent studies have investigated the impact of AI on scientific writing, readability, and the structure of language change.

General Direction of the Field

The field is moving towards a deeper understanding of how AI is reshaping the way scientists communicate and the implications of this shift on the clarity and complexity of scientific language. Researchers are exploring the effects of AI on linguistic features, readability, and the diffusion of AI technologies in various fields, including neuroscience.

Noteworthy Papers

  • A study on the structure of AI-induced language change found that changes are primarily semantic and pragmatic rather than purely lexical, with entire semantic clusters shifting together.
  • Research on the change in scientific readability following the release of ChatGPT revealed a significant decrease in readability, suggesting that abstracts are becoming increasingly complex.

Sources

Exploring the Structure of AI-Induced Language Change in Scientific English

Exploring the change in scientific readability following the release of ChatGPT

Involvement drives complexity of language in online debates

From Model Design to Organizational Design: Complexity Redistribution and Trade-Offs in Generative AI

Generative AI and the future of scientometrics: current topics and future questions

A Dynamical Cartography of the Epistemic Diffusion of Artificial Intelligence in Neuroscience

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