Under What Conditions Can a Machine Be Called Genuinely Creative?
Recent AI systems can generate texts, software architectures, hypotheses, designs, and scientific workflows that appear creative. This paper asks under what conditions a machine can be called genuinely creative, and how human agency can be preserved within shared cognitive and creative environments. It develops a requirement framework derived from Designics, the science of meaning-bearing intentional change. The paper argues that genuine machine creativity should not be defined by output novelty, current performance, or transient architecture alone. Instead, creativity is understood as the structural transformation of incomplete situations through recursive intervention dynamics. On this ...
| Authors | Yong Zeng |
|---|---|
| Primary category | cs.AI |
| Published | 11 June 2026 |
| Last updated at source | 15 June 2026 |
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