Human-AI Collaboration in Writing: A Multidimensional Framework for Creative and Intellectual Authorship

Abstract

The integration of AI technologies into the writing process has significantly altered traditional notions of authorship, creativity, and intellectual labor. Historically, writing was seen as a human-driven cognitive and creative exercise, but with the rise of generative AI tools such as ChatGPT and Claude, the line between human and AI contributions has become increasingly ambiguous. This paper addresses the limitations of the current sliding scale model, which views AI involvement as ranging from "none" to "complete." In its place, we propose a new multidimensional framework that more accurately reflects the complexity of human-AI collaboration in writing. The model includes axes for content generation, structural assistance, creative input, and analytical contribution, emphasizing the varying degrees of interaction between human writers and AI tools. This framework highlights how AI can assist in different aspects of writing without fully replacing human agency, while also underscoring the importance of ethical and intellectual accountability. By providing a more comprehensive understanding of the collaborative dynamics between humans and AI, this paper offers a foundation for future research into optimizing these interactions in creative and academic contexts.

Received: 26 November 2024 | Revised: 10 January 2025 | Accepted: 11 February 2025

Conflicts of Interest

The author declares that he has no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement

James Hutson: Conceptualization, Methodology, Validation, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization.