Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems

Explainable & Ethical AI
Published: arXiv: 2509.15440v1
Authors

Dashiel Carrera Jeb Thomas-Mitchell Daniel Wigdor

Abstract

AI co-writing systems challenge long held ideals about agency and ownership in the creative process, thereby hindering widespread adoption. In order to address this, we investigate conceptions of agency and ownership in AI creative co-writing. Drawing on insights from a review of commercial systems, we developed three co-writing systems with identical functionality but distinct interface metaphors: agentic, tool-like, and magical. Through interviews with professional and non-professional writers (n = 18), we explored how these metaphors influenced participants' sense of control and authorship. Our analysis resulted in a taxonomy of agency and ownership subtypes and underscore how tool-like metaphors shift writers' expected points of control while agentic metaphors foreground conceptual contributions. We argue that interface metaphors not only guide expectations of control but also frame conceptions of authorship. We conclude with recommendations for the design of AI co-writing systems, emphasizing how metaphor shapes user experience and creative practice.

Paper Summary

Problem
The main problem this paper addresses is the mixed perception of AI creative co-writing systems among writers. While AI has opened new artistic possibilities, many writers are skeptical about whether AI can yield creative results or disrupt their creative integrity. To support broader adoption of AI co-writing systems, it's crucial to consider the factors that influence writers' long-term satisfaction with these systems.
Key Innovation
This research introduces a new approach to understanding agency and ownership in AI creative co-writing systems. The authors use interface metaphors as a design probe to explore how writers conceptualize agency and ownership during interactions with AI co-writing systems. They identify three interface metaphor archetypes (tool-like, agentic, and magic) and create prototypes to study how these metaphors affect writers' perceptions and behaviors.
Practical Impact
This research has significant practical implications for the design of AI co-writing systems. By understanding how interface metaphors shape writers' perceptions of agency and ownership, designers can create more effective, satisfying, and considered AI co-writing systems. This can lead to increased adoption and satisfaction among writers, enabling them to explore new artistic possibilities and collaborate more effectively with AI.
Analogy / Intuitive Explanation
Imagine writing a story with a co-author who has a different style and voice. You want to feel in control of the narrative, but you also want to collaborate and create something new. The interface metaphors used in AI co-writing systems can either enhance or undermine this sense of collaboration and control. The authors' research shows that different metaphors can lead to different perceptions of agency and ownership, and that designers can use these insights to create more effective and satisfying AI co-writing systems.
Paper Information
Categories:
cs.HC cs.AI
Published Date:

arXiv ID:

2509.15440v1

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