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Abstract

The resurgence of the concept of 'style' within the realm of artificial intelligence, particularly in the fields of image classification and style transfer, reignites age-old discussions in art history. Despite the success of algorithmic methods, this revival has been met with significant criticism from art historians. A thorough exploration of the history of the concept of style, its evolution, inherent ambiguities, and diverse applications underscores the challenges art history faces in integrating new computational approaches that aim to describe and analyze styles. This is the central theme of this issue of the Artl@s Bulletin, for which we invited a diverse group of scholars to explore style in all its complexity.

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