提出多维度框架，透明化AI辅助写作的使用细节。
A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production
- 按文档层级拆解AI参与方式，分形式、生成、评估三要素
- 扩展版增加意图、控制与可追溯性，支持更细粒度追踪
- 适用于学术写作等需责任溯源的场景
人工智能系统正深度融入写作流程，挑战传统作者权、责任归属与智力贡献的认知。现有披露机制通常仅说明是否使用AI，却很少说明其具体使用方式、介入位置及输出审查过程。本文提出一种分面模型，用于在文档、章节、段落等层级上表征AI辅助文本生产。核心模型基于形式（Form）、生成（Generation）与评估（Evaluation），扩展模型进一步引入意图（Intent）、控制（Control）与可追溯性（Traceability）。该模型定位为最小可操作基线，具备向更高保真度表示拓展的能力。通过本文撰写过程的实例演示了其适用性。
原文摘要 · Abstract (English)
Artificial intelligence systems are increasingly integrated into writing processes, challenging traditional notions of authorship, responsibility, and intellectual contribution. Current disclosure practices usually indicate whether AI was used, but rarely explain how it was used, where it intervened, or how its output was reviewed. This paper proposes a faceted model for representing AI-assisted text production at the levels of documents, chapters, sections, and paragraphs. The proposal introduces a core model based on Form, Generation, and Evaluation, and an extended model that adds Intent, Control, and Traceability. The model is positioned as a minimal operational baseline with extensibility toward higher-fidelity representations. A worked example based on the production of this article demonstrates applicability.
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