Abstract

The recent surge of generative AI has accelerated arguments on whether it can facilitate and hamper creative thought processes. In this work, we explore a framework for human–AI co-creativity within a closed academic community. We designed a multi-session interdisciplinary workshop in which university researchers created a custom GPT-based conversational assistant collaboratively and had guided interactions with the assistant. In these workshops, we presented a novel "middle-voice" (chūdō-teki in Japanese) co-creation methodology, where AI was placed on an equal footing as a co- creator, not as a tool nor as a source of wisdom. We also gathered qualitative data on how participants' creativity and cross-disciplinary collaboration evolved. The results indicate that our participatory approach can enhance AI literacy among researchers, foster reasonable trust in AI, and stimulate creative insights, thereby establishing a foundation for a novel paradigm of creativity enhancement in the age of AI.

Keywords

AI and creativity; Interdisciplinary collaboration; LLM customization; Human–AI co- creativity

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Track 4 - Human-Centered AI

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Dec 2nd, 9:00 AM Dec 5th, 5:00 PM

Beyond Active and Passive: A "Middle-Voice" Human–AI Collaboration Framework for Enhancing Creativity through Interdisciplinary Workshops

The recent surge of generative AI has accelerated arguments on whether it can facilitate and hamper creative thought processes. In this work, we explore a framework for human–AI co-creativity within a closed academic community. We designed a multi-session interdisciplinary workshop in which university researchers created a custom GPT-based conversational assistant collaboratively and had guided interactions with the assistant. In these workshops, we presented a novel "middle-voice" (chūdō-teki in Japanese) co-creation methodology, where AI was placed on an equal footing as a co- creator, not as a tool nor as a source of wisdom. We also gathered qualitative data on how participants' creativity and cross-disciplinary collaboration evolved. The results indicate that our participatory approach can enhance AI literacy among researchers, foster reasonable trust in AI, and stimulate creative insights, thereby establishing a foundation for a novel paradigm of creativity enhancement in the age of AI.

 

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