人类-人工智能交互痕迹作为黑屏诗：重新定义AI支持的写作作为发现文本创作
Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity
AI总结：
本文探讨将AI写作交互痕迹视为表达性艺术制品，通过黑屏诗启发，重新审视人类与AI协作中的意义创造，提升读者对创作贡献的理解与信任。
摘要：
LLMs为作家提供了新的创作可能性，但也引发了关于真实性和读者信任的担忧，尤其是在AI参与被披露时。以往研究多强调透明度和来源的披露，强调记录人类-AI交互痕迹以说明AI写了多少以及人类做了什么。然而，这种审计导向的披露可能有损创造性协作，将其简化为量化和监控。本文通过探讨人类-AI交互痕迹如何作为表达性艺术制品，突出人类-AI协作中的意义创造过程。受黑屏诗启发，将AI生成文本视为发现材料，使作家的整理和再解读行为在AI原始输出上得以呈现。通过这种方式，我们建议将交互痕迹设计为美学艺术制品，有助于读者更好地欣赏和信任AI辅助写作中作家的创作贡献。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
