Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears
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Abstract (arXiv)
The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language support, ethics, and long-term impact on writers' voice and creativity remain underexplored. In this work, we carried out a questionnaire (N = 301) and an interactive task (N = 36) targeting freelance professional writers regularly using AI. We examined AI-assisted writing practices across 25+ languages, ethical concerns, and user expectations. Our findings reveal that adoption is shaped more by peer influence and professional outlook than demographics, that multilingual writers face both performance and perception barriers to equitable AI use, and that job security concerns are widespread and adoption-independent.
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References · 11
- 2019A Survey on Bias and Fairness in Machine Learningcited by 1,917
- 2018Model Cards for Model Reportingcited by 1,080
- 2016Inherent Trade-Offs in the Fair Determination of Risk Scorescited by 586
- 2018Delayed Impact of Fair Machine Learningcited by 184
- 2020Survey on Causal-based Machine Learning Fairness Notionscited by 54
- 2018POTs: Protective Optimization Technologiescited by 28
- 2021Ethics-Based Auditing to Develop Trustworthy AIcited by 23
- 2022Metaethical Perspectives on 'Benchmarking' AI Ethicscited by 12
- 2021Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?cited by 10
- 2024Operationalising AI governance through ethics-based auditing: An industry case studycited by 6
- 2023Navigating Fairness Measures and Trade-Offscited by 5
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