将人机交互痕迹视为创作性文字，用黑框诗手法凸显作者再创作价值。
Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity
- 把人机协作过程中的文本痕迹看作可重新诠释的素材
- 主张通过艺术化设计增强读者对作者创意贡献的理解与信任
- 适合关注人机共创、文学生成与数字艺术的读者
大语言模型为写作者带来新可能，但也引发真实性与读者信任问题，尤其在披露人机协作痕迹时。以往研究多从透明度和溯源角度切入，强调量化记录谁写了什么、人类做了什么。但此类审计式披露可能将创造性合作简化为数据监控。本文提出新视角：将人机交互痕迹视为表达性艺术，借鉴黑框诗（blackout poetry）理念，把AI生成内容当作“现成文本”，让作者的筛选与重释行为成为其上层创作。由此，将交互痕迹设计为美学物件，或能帮助读者更充分理解并信任写作者在人机协作中的创造性贡献。
原文摘要 · Abstract (English)
LLMs offer new creative possibilities for writers but also raise concerns about authenticity and reader trust, particularly when AI involvement is disclosed. Prior research has largely framed this as an issue of transparency and provenance, emphasizing the disclosure of human-AI interaction traces that account for how much the AI wrote and what the human did. Yet such audit-oriented disclosures may risk reducing creative collaboration to quantification and surveillance. In this position paper, we argue for a different lens by exploring how human-AI interaction traces might instead function as expressive artifacts that foreground the meaning-making inherent in human-AI collaboration. Drawing inspiration from blackout poetry, we frame AI-generated text as found material through which writers' acts of curation and reinterpretation become inscribed atop the AI's original output. In this way, we suggest that designing interaction traces as aesthetic artifacts may help readers better appreciate and trust writers' creative contributions in AI-assisted writing.
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