研究人类与AI共创写作中创作主体性的演变，揭示三种适应模式。
Writing in Symbiosis: Mapping Human Creative Agency in the AI Era
- 通过跨时代写作数据，发现人类与AI协同演化的双轨趋势。
- 识别出三类作者：趋近AI风格、远离AI风格、保持风格稳定但写AI主题。
- 为创意多样性保护与人机协作提供实证依据，适合关注创作伦理者阅读。
大型语言模型（LLMs）的普及引发了关于人机共生关系下何为人性的核心问题。本文考察了创意写作中人类与AI的共同演化模式，探究人类技艺与主体性如何随机器能力变化而调整。我们挑战了风格趋同的主流观点，分析了纵向写作数据中的多样化模式。基于涵盖大模型出现前后时代的大型语料库，观察到一种‘双轨演化’：主题向人工智能相关话题收敛，同时风格呈现结构化分化。分析揭示出三种新兴适应模式：作者风格趋近AI、风格远离AI，以及在涉及AI主题时保持风格稳定。这一创作原型图谱揭示了作者身份正与AI共同演化，推动关于人机协作、检测难题及创意多样性保留的讨论。
原文摘要 · Abstract (English)
The proliferation of Large Language Models (LLMs) raises a critical question about what it means to be human when we share an increasingly symbiotic relationship with persuasive and creative machines. This paper examines patterns of human-AI coevolution in creative writing, investigating how human craft and agency are adapting alongside machine capabilities. We challenge the prevailing notion of stylistic homogenization by examining diverse patterns in longitudinal writing data. Using a large-scale corpus spanning the pre- and post-LLM era, we observe patterns suggestive of a "Dual-Track Evolution": thematic convergence around AI-related topics, coupled with structured stylistic differentiation. Our analysis reveals three emergent adaptation patterns: authors showing increased similarity to AI style, those exhibiting decreased similarity, and those maintaining stylistic stability while engaging with AI-related themes. This Creative Archetype Map illuminates how authorship is coevolving with AI, contributing to discussions about human-AI collaboration, detection challenges, and the preservation of creative diversity.
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