On the creativity of large language models

Abstract Large language models (LLMs) are revolutionizing several areas of Artificial Intelligence. One of the most remarkable applications is creative writing, e.g., poetry or storytelling: the generated outputs are often of astonishing quality. However, a natural question arises: can LLMs be really considered creative? In this article, we first analyze the development of LLMs under the lens of creativity theories, investigating the key open questions and challenges. In particular, we focus our discussion on the dimensions of value, novelty, and surprise as proposed by Margaret Boden in her work. Then, we consider different classic perspectives, namely product, process, press, and person. We discuss a set of “easy” and “hard” problems in machine creativity, presenting them in relation to LLMs. Finally, we examine the societal impact of these technologies with a particular focus on the creative industries, analyzing the opportunities offered, the challenges arising from them, and the potential associated risks, from both legal and ethical points of view.

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Publication Details

Journal
AI & Society
Published
2024-11-28
DOI
https://doi.org/10.1007/s00146-024-02127-3
Citations
71
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
22.93
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article

On the creativity of large language models

Giorgio Franceschelli, Mirco Musolesi
71 citations
AI & Society
Topic Modeling
22.93
article

On the creativity of large language models

Giorgio Franceschelli, Mirco Musolesi
article en
71 citations

Abstract

Abstract Large language models (LLMs) are revolutionizing several areas of Artificial Intelligence. One of the most remarkable applications is creative writing, e.g., poetry or storytelling: the generated outputs are often of astonishing quality. However, a natural question arises: can LLMs be really considered creative? In this article, we first analyze the development of LLMs under the lens of creativity theories, investigating the key open questions and challenges. In particular, we focus our discussion on the dimensions of value, novelty, and surprise as proposed by Margaret Boden in her work. Then, we consider different classic perspectives, namely product, process, press, and person. We discuss a set of “easy” and “hard” problems in machine creativity, presenting them in relation to LLMs. Finally, we examine the societal impact of these technologies with a particular focus on the creative industries, analyzing the opportunities offered, the challenges arising from them, and the potential associated risks, from both legal and ethical points of view.

AI & SocietyVol. 40(5)
University College London (GB), University of Bologna (IT)
Quality Education
Openalex Percentile: Top 0%
Topic Modeling
22.93
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