Creativity is reconceptualized as a distributional process measured by novelty in synthesis within embedding space, revealing bimodal creative outputs in AI-mediated environments where distinctiveness rather than fluency signals human capability.
This paper proposes a framework for addressing this challenge by reconceptualizing creativity as a distributional property and introducing a quantitative method for its measurement
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Measuring Creativity in the Age of Generative AI: Distinguishing Human and AI-Generated Creative Performance in Hiring and Talent Systems
Creativity is reconceptualized as a distributional process measured by novelty in synthesis within embedding space, revealing bimodal creative outputs in AI-mediated environments where distinctiveness rather than fluency signals human capability.