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Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence

Interdisciplinary Studies

Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence

J. Mcguire, D. D. Cremer, et al.

Across two experiments with advanced human–AI interfaces, the authors found people were most creative writing poetry on their own rather than editing AI‑generated drafts; however, the deficit vanished when people co‑created with AI, with creative self‑efficacy identified as a key mechanism. This research was conducted by Jack McGuire, David De Cremer, and Tim Van de Cruys.

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~3 min • Beginner • English
Abstract
The emergence of generative AI technologies has led to an increasing number of people collaborating with AI to produce creative works. Across two experimental studies, in which we carefully designed and programmed state-of-the-art human–AI interfaces, we examine how the design of generative AI systems influences human creativity (poetry writing). First, we find that people were most creative when writing a poem on their own, compared to first receiving a poem generated by an AI system and using sophisticated tools to edit it (Study 1). Following this, we demonstrate that this creativity deficit dissipates when people co-create with—not edit—AI and establish creative self-efficacy as an important mechanism in this process (Study 2). Thus, our findings indicate that people must occupy the role of a co-creator, not an editor, to reap the benefits of generative AI in the production of creative works.
Publisher
Scientific Reports
Published On
Aug 09, 2024
Authors
Jack McGuire, David De Cremer, Tim Van de Cruys
Tags
generative AI
human-AI collaboration
creativity
co-creation
creative self-efficacy
poetry
interface design
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