Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears

The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as languages support, ethics, and long-term impact on writers voice and creativity remain underexplored. In this work, we conducted a questionnaire (N = 301) and an interactive survey (N = 36) targeting professional writers regularly using AI. We examined LLM-assisted writing practices across 25+ languages, ethical concerns, and user expectations. The findings of the survey demonstrate important insights, reflecting upon the importance of: LLMs adoption for non-English speakers; the degree of misinformation, domain and style adaptation; usability and key features of LLMs. These insights can guide further development, benefiting both writers and a broader user base.

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Publication Details

Journal
ArXiv.org
Published
2025-04-07
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears

ArXiv.org
Artificial Intelligence in Healthcare and Education
article

Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears

article en

Abstract

The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as languages support, ethics, and long-term impact on writers voice and creativity remain underexplored. In this work, we conducted a questionnaire (N = 301) and an interactive survey (N = 36) targeting professional writers regularly using AI. We examined LLM-assisted writing practices across 25+ languages, ethical concerns, and user expectations. The findings of the survey demonstrate important insights, reflecting upon the importance of: LLMs adoption for non-English speakers; the degree of misinformation, domain and style adaptation; usability and key features of LLMs. These insights can guide further development, benefiting both writers and a broader user base.

ArXiv.org
LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE)
Quality Education
Openalex Percentile: Top 54%
Artificial Intelligence in Healthcare and Education
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