Writing in Symbiosis: Mapping Human Creative Agency in the AI Era
It addresses the problem of understanding human-AI coevolution in creative writing for researchers and practitioners, offering insights into collaboration and diversity, but it is incremental as it builds on existing discussions without a major breakthrough.
This paper investigates how human creative writing and agency are adapting alongside AI capabilities, using longitudinal data to reveal a 'Dual-Track Evolution' with thematic convergence on AI topics and stylistic differentiation, including patterns of increased, decreased, or stable similarity to AI style.
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.