Рет қаралды 59
The GLAM sector has been actively engaged for several years in the development of added values and processes that bring specific requirements of cultural data in museums and archives (AI4LAM 2024; Kohle 2018; Murphy et al. 2022; Neudecker 2022; Markus and Neudecker 2021; Caramiaux 2020). The focus is increasingly on added value and specific areas of application for the indexing and development of digital archives and digitally mediated museums (Bell and Ommer 2018; Bareither 2023; Caramiaux 2024; Thiel and Bernhardt 2024; Volland 2019). Collection development and curation processes in particular are changing due to the possibilities offered by the use of new machine learning methods. In multidimensional spaces, this enables new possibilities of access to digital knowledge bases (Pilka 2022; Bönisch 2021; ARCU&OHM 2021). Initial projects and research on working with language models also point in a promising direction (Badisches Landesmuseum Karlsruhe 2023; Philipps-Universität Marburg 2024). The article analyses the advantages and disadvantages of previous strategies and provides an insight into the conditions for innovation developments at museums.
Sonja Thiel is a freelance curator and researcher. She is active in the field of innovation and transformation research, digital development and consulting and works museologically at the interface between open digital education, artificial intelligence and digital collections. From 2014- 2020, she developed a blended learning academy programme in museum studies at the University of Freiburg. From 2021-2023, she led AI development at the Badisches Landesmuseum Karlsruhe as Digital Catalyst and expanded the German-speaking AI & Museum network. She publishes in the field of digital mediation, digital policy and cultural policy and works as a volunteer for the DigAMus Award.
Photo: ARTIS - Uli Deck
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The lecture series of the digitization college »Artificial Intelligence in Culture and Arts« (AICA) aims to provide an overview of current projects in the field of AI in the arts. In three thematic blocks, speakers will present their own artistic works, pilot projects, business ideas and research projects. AICA is a cooperation project between the Hochschule für Musik und Theater München (HMTM) and the Hochschule München (HM), funded by the Bayerische Staatsministerium für Wissenschaft und Kunst and coordinated by the Bayerische Forschungsinstitut für digitale Transformation (bidt).
The aim is to equip students at HMTM and HM with skills that enable them to actively shape AI-based processes in their own artistic and creative projects and to work together in interdisciplinary teams.