The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI

Abstract

"Beauty" is a highly disputed word in philosophy and art. It also appears frequently in the scientific debates. But what is the role of "beauty" in science, and how can it be useful to AI? In this paper, we argue that scientific progress depends on the diversity of judgments of scientists, something that is only possible by the multiplicity of aspects involved in theoretical evaluations. Particularly important within these criteria are those related to aesthetic considerations, such as simplicity, consistency, broadness, and fertility. We claim that AI should be less focused on accuracy and related metrics, and should aim at integrating epistemic measures related to these aesthetic concepts.

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