Artificial intelligence is becoming an increasingly important topic in the cultural sector.
While museums have long focused on building digital object databases the existing data can now
become a field of application for machine learning deep learning and foundation model
approaches. This goes hand in hand with new artistic practices curation tools visitor
analytics chatbots automatic translations and tailor-made text generation. With a decidedly
interdisciplinary approach the volume brings together a wide range of critical reflections
practical perspectives and concrete applications of artificial intelligence in museums and
provides an overview of the current state of the debate.
