DOAJ Open Access 2026

The relation between humans and LLMs in the creative act

Tom Kortenbach Yuan Yin Milene Guerreiro Gonçalves Rebecca Anne Price Pan Wang

Abstrak

Can Large Language Models (LLMs) be creative? Existing research into the creativity of LLMs frames the debate as if the construct of creativity is limited to our conception of human creativity and fails to articulate the opportunity for human and LLM creativity to co-exist and contribute to the creative act in different manners. The objective of this article is to provide a new viewpoint for reflecting on the capabilities of LLMs in the domain of creativity and to enable us to acknowledge the relative strengths and weaknesses of LLMs compared to humans. A framework is proposed that builds on existing creativity frameworks (4Ps, 5As, and 5Cs) and articulates four perspectives (Entity, Proposition, Process, and Environment) for exploring the relation between LLMs and (human) creativity. Within each perspective, empirical and theoretical research on the creativity of LLMs is positioned into a broader landscape of theoretical creativity literature from the fields of psychology, philosophy, design, and computational creativity. In the discussion section, a framework is proposed that highlights how LLMs should be regarded as complementary amplifiers of the human cognition in the domain of natural language instead of ‘on par’ in terms of nature and capacities. For researchers, the insights provide a theoretical foundation for designing empirical research. For practitioners in the creative domain, the article introduces the vocabulary to articulate how humans and LLMs relate in the creative act.

Topik & Kata Kunci

Penulis (5)

T

Tom Kortenbach

Y

Yuan Yin

M

Milene Guerreiro Gonçalves

R

Rebecca Anne Price

P

Pan Wang

Format Sitasi

Kortenbach, T., Yin, Y., Gonçalves, M.G., Price, R.A., Wang, P. (2026). The relation between humans and LLMs in the creative act. https://doi.org/10.1016/j.yjoc.2025.100114

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Informasi Jurnal
Tahun Terbit
2026
Sumber Database
DOAJ
DOI
10.1016/j.yjoc.2025.100114
Akses
Open Access ✓