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

TL;DR

This paper introduces a detailed, multi-faceted model for transparent attribution of AI involvement in text creation, addressing current disclosure gaps and enhancing accountability.

Contribution

It proposes a core and extended model for representing AI-assisted writing at various document levels, improving transparency and traceability.

Findings

The model effectively captures AI roles in text production.

A practical example demonstrates the model's applicability.

The approach enhances transparency in AI-assisted authorship.

Abstract

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.