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[2512.13697] Writing in Symbiosis: Mapping Human Creative Agency in the AI Era
Summary
This article explores the evolving relationship between human creativity and AI, particularly in writing, highlighting how authors adapt their styles in response to AI capabilities.
Why It Matters
As AI technologies, particularly Large Language Models, become more integrated into creative processes, understanding their impact on human authorship is crucial. This research sheds light on how writers are navigating their creative identities in a landscape increasingly influenced by AI, which has implications for the future of creative industries and education.
Key Takeaways
- Human-AI collaboration is reshaping creative writing practices.
- Authors exhibit varied adaptation patterns in response to AI styles.
- The study introduces a Creative Archetype Map to categorize these adaptations.
Computer Science > Computers and Society arXiv:2512.13697 (cs) [Submitted on 28 Nov 2025 (v1), last revised 16 Feb 2026 (this version, v2)] Title:Writing in Symbiosis: Mapping Human Creative Agency in the AI Era Authors:Vivan Doshi, Mengyuan Li View a PDF of the paper titled Writing in Symbiosis: Mapping Human Creative Agency in the AI Era, by Vivan Doshi and 1 other authors View PDF HTML (experimental) Abstract: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 cha...
