Zitationsvorschlag

Morosse, Mar: Artificial Intelligence and Art History: Exploring New Dimensions in Cultural Analysis, in Bienert, Andreas, Emenlauer-Blömers, Eva und Lengyel, Dominik (Hrsg.): EVA Berlin 2025. Electronic Media and Visual Arts: 28th Issue of the EVA Berlin Conference, Heidelberg: arthistoricum.net, 2025 (EVA Berlin, Band 28), S. 35–44. https://doi.org/10.11588/arthistoricum.1568.c24036

Identifier (Buch)

ISBN 978-3-98501-333-3 (PDF)

Veröffentlicht

10.12.2025

Autor/innen

Mar Morosse

Artificial Intelligence and Art History

Exploring New Dimensions in Cultural Analysis

The advent of AI-generated art began in the 1970s with Harold Cohen's The Aaron, a pioneering experiment in using algorithms to mimic human creativity. Since then, AI has transformed the field of art history, challenging traditional notions of authorship, authenticity, and creativity. Today, AI is not just a tool but a catalyst for innovation, enabling artists to experiment with new techniques, materials, and forms that push the boundaries of art. This conference explores the intersection of AI and art history, addressing topics such as AI’s role in art authentication, visual analysis, and pattern recognition, which uncover hidden details and influences in artworks. It also examines generative art, where algorithms create novel styles and forms, and AI's impact on curatorial practices, cultural heritage preservation, and narrative contextualization. Ethical considerations will also be discussed, including bias, privacy, and the evolving role of art historians. This interdisciplinary dialogue brings together scholars, technologists, and artists to illuminate AI’s transformative influence on art and its redefinition of creativity and cultural understanding.