2025
Artificial Intelligence in Dance Choreography: A Practice-as-research Exploration of Human–AI Co-creation Using ChatGPT-4
BÁIA REIS, António; Petr VAŠKŮ and Sára SOLMOŠIOVÁBasic information
Original name
Artificial Intelligence in Dance Choreography: A Practice-as-research Exploration of Human–AI Co-creation Using ChatGPT-4
Authors
BÁIA REIS, António; Petr VAŠKŮ and Sára SOLMOŠIOVÁ
Edition
International Journal of Performance Arts and Digital Media, London, Taylor & Francis, 2025, 1479-4713
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
60403 Performing arts studies
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 0.900 in 2024
Marked to be transferred to RIV
Yes
Organization unit
Theatre Faculty
UT WoS
Keywords (in Czech)
Umělá inteligence; generativní AI; ChatGPT-4; tanec; choreografie
Keywords in English
Artificial intelligence; generative AI; ChatGPT-4; dance; choreography
Tags
Tags
International impact, Reviewed
Changed: 5/3/2026 17:10, Mgr. Jana Kořínková, Ph.D.
Abstract
In the original language
Artificial intelligence (AI) is increasingly used in creative domains, including dance. This article focuses on the ‘Prompt Dancer’ project, an experimental collaboration between OpenAI’s ChatGPT-4 and professional dancers to co-create a dance choreography. We describe and analyze the process of this dancer–AI co-creation, examining how the ChatGPT-4 generative model functioned as an AI choreographer and how human dancers interpreted and adapted its prompts. A practice-as-research methodology was adopted to capture emergent insights from the creative process. The findings shed light on the potential and limitations of using a conversational AI for choreographic creation, illustrating new modes of human–AI creative partnership as well as challenges such as communication gaps and conceptual biases. This study contributes to the growing discussion on AI in the performing arts by providing empirical observations of dancer–AI interaction and reflecting on the implications for future creative practice.