Current developments in the field of artificial intelligence have made the question of how this technology can and will change the world of scientific method even more urgent. Thousands of clay vessels with their characteristic black and red color have been handed down over centuries from ancient Greece and provide an insight into everyday life in antiquity. One way to understand them was and still is through comparison of different images as new images with familiar compositional schemes and figure types were created again and again. But how does a computer "see" these ancient images, how does it compare them, how does it evaluate individual images, and according to which parameters? This lecture sheds light on both computer vision approaches to these questions and the challenges that archaeological imagery pose for such approaches.

Prof. Dr. Corinna Reinhardt has been a Professor of Mediterranean Archaeology at the University of Zurich with a focus on Greek and Roman antiquity since August 2023. Previously, she was a Junior Professor at the Friedrich-Alexander-Universität Erlangen-Nürnberg, where she started a project on the application of computer vision approaches to historical works of art together with colleagues from art history, Christian archaeology, and the Pattern Recognition Lab.