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Abstract

wide.This review of research from the field was the starting point for the seminar to comprehensively compile data and cases regarding the way AI is being deployed in museums the world over.An outline of the extensive mapping that was then conducted for each continent will add to this presentation of research.The concluding summary evaluates the results of the mapping based on the following questions: Is a certain type of museum a forerunner with respect to AI? Is there an operational area in which the use of AI occurs proportionately quite frequently?Which region dominates, in other words, which region or country currently leads in the field of AI in museums, if it is possible to speak of dominance or leadership in the first place?What are the similarities in the global overview, and what are the differences? State of Research: AI in the Museum TodayThe seminar was devoted to the most recent developments featuring AI in the museum sector internationally, but with regard to the historical evolution as well.To this end, three research initiatives that have been intensively dedicated to the field of AI in museums since 2020 and focus on regional and international networks were chosen as pivotal points: LiviaAI,

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