Bianchi Ivana, Branchini Erika, Uricchio Tiberio, Bongelli Ramona
Department of Humanities (Section Philosophy and Human Sciences), University of Macerata, Macerata, Italy.
Department of Human Sciences, University of Verona, Verona, Italy.
Front Psychol. 2025 Sep 2;16:1648480. doi: 10.3389/fpsyg.2025.1648480. eCollection 2025.
This paper contributes to the debate on creativity, art, and artificial intelligence (AI) by integrating insights from cognitive psychology and empirical aesthetics into the field of AI, with the goal of inspiring novel empirical research. We focus on two main topics. First, we examine the indices used in psychology to operationalize in closed-ended and open-ended tasks, with the aim not only of demonstrating the multidimensionality involved in defining creativity, but also of stimulating reflection on the benefits that might arise from developing a similar standard set of indices to test AI scoring models for assessing creativity (of both human and AI-generated responses). Second, we focus on the situation in which the creative products generated by AI are works of art, and on their aesthetic evaluation by non-expert human observers. Bridging the literature developed in psychology of art and empirical aesthetics with the literature on AI, a number of questions emerge, regarding the bias about the "expected style" of AI-generated art, and possible variables that play a role in aversion to AI-generated art. They all suggest possible future empirical research directions.
本文通过将认知心理学和实证美学的见解融入人工智能领域，为有关创造力、艺术和人工智能（AI）的辩论做出贡献，旨在激发新颖的实证研究。我们关注两个主要主题。首先，我们研究心理学中用于在封闭式和开放式任务中进行操作化的指标，目的不仅是展示定义创造力所涉及的多维度性，还在于促使人们思考开发一套类似的标准指标来测试用于评估创造力（人类和人工智能生成的反应）的人工智能评分模型可能带来的好处。其次，我们关注人工智能生成的创意产品是艺术作品的情况，以及非专业人类观察者对其的审美评价。将艺术心理学和实证美学中发展的文献与人工智能文献相结合，出现了一些问题，涉及对人工智能生成艺术的“预期风格”的偏见，以及在厌恶人工智能生成艺术中起作用的可能变量。它们都暗示了未来可能的实证研究方向。
