Generative artificial intelligence (AI) has the potential to transform creative industries through supporting human creative ideation-the generation of new ideas. However, limitations in model capabilities raise key challenges in integrating these technologies more fully into creative practices. Iterative tweaking and divergent thinking remain key to enabling creativity support using technology, yet these practices are insufficiently supported by state-of-the-art generative AI models.
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