On the Creativity of AI Agents
Large language models (LLMs), particularly when integrated into agentic systems, have demonstrated human- and even superhuman-level performance across multiple domains. Whether these systems can truly be considered creative, however, remains a matter of debate, as conclusions heavily depend on the definitions, evaluation methods, and specific use cases employed. In this paper, we analyse creativity along two complementary macro-level perspectives. The first is a functionalist perspective, focusing on the observable characteristics of creative outputs. The second is an ontological perspective, emphasising the underlying processes, as well as the social and personal dimensions involved in c...
| Authors | Giorgio Franceschelli, Mirco Musolesi |
|---|---|
| Primary category | cs.CY |
| Published | 14 April 2026 |
| Last updated at source | 18 April 2026 |
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