mlsanityData to 13 Oct 2026

A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production

arXiv 2604.25346 ↗First posted 28 Apr 2026cs.CY cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 7 of its 36 references that are in the map. First posted on arXiv 28 Apr 2026.

Builds on

7 of 36 references.

References · 7

  1. 2018Datasheets for Datasetscited by 1,377
  2. 2018Model Cards for Model Reportingcited by 1,076
  3. 2021Ethical and social risks of harm from Language Modelscited by 964
  4. 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 163
  5. 2023The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessmentcited by 12
  6. 2024The Artificial Intelligence Disclosure (AID) Framework: An Introductioncited by 3
  7. 2026AI Disclosure with DAISYcited by 1

Built on by

Not cited yet.