A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866917443012657152 |
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| author | Xexéo, Geraldo |
| author_facet | Xexéo, Geraldo |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2604_25346 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production Xexéo, Geraldo Computers and Society Artificial Intelligence K.7.4; I.2.7 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. |
| title | A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production |
| topic | Computers and Society Artificial Intelligence K.7.4; I.2.7 |
| url | https://arxiv.org/abs/2604.25346 |