AI applications have already-irreversibly-entered the fields of Humanities,Classics,and archaeological research,but are rarely taught in class.This paper attempts to encourage teachers and students of Classical Archae...AI applications have already-irreversibly-entered the fields of Humanities,Classics,and archaeological research,but are rarely taught in class.This paper attempts to encourage teachers and students of Classical Archaeology,Classics,Art History,and related fields,to practically explore,evaluate,and critically discuss pattern recognition(here focusing on Greek vase-painting),without requiring previously acquired coding skills.For this task,I will outline the potential of the open access program“Orange Data Mining”for academic teaching,based on a seminar taught by myself at Heidelberg University in the winter semester of 2024/25.I will introduce four different pattern recognition exercises(“Image Grid,”“Image Clustering,”“Image Classification,”and“Prediction”)that are easily accessible for classicists(please,try this at home!)and report the results and experiences which came out of our seminar.Furthermore,I will evaluate how the“hands-on”use of Orange Data Mining in class enables students to access the current debate on the chances and limitations of AI for research in ancient studies.展开更多
基金the European Union’s Horizon 2020 research and innovation programme.
文摘AI applications have already-irreversibly-entered the fields of Humanities,Classics,and archaeological research,but are rarely taught in class.This paper attempts to encourage teachers and students of Classical Archaeology,Classics,Art History,and related fields,to practically explore,evaluate,and critically discuss pattern recognition(here focusing on Greek vase-painting),without requiring previously acquired coding skills.For this task,I will outline the potential of the open access program“Orange Data Mining”for academic teaching,based on a seminar taught by myself at Heidelberg University in the winter semester of 2024/25.I will introduce four different pattern recognition exercises(“Image Grid,”“Image Clustering,”“Image Classification,”and“Prediction”)that are easily accessible for classicists(please,try this at home!)and report the results and experiences which came out of our seminar.Furthermore,I will evaluate how the“hands-on”use of Orange Data Mining in class enables students to access the current debate on the chances and limitations of AI for research in ancient studies.
