1871572320     

AI in Museums : reflections, perspectives and applications / Sonja Thiel, Johannes C. Bernhardt (eds.)

Thiel, Sonja, 1985- [Herausgeberin/-geber] ; Bernhardt, Johannes Christian, ca. 20./21. Jh. [Herausgeberin/-geber]

Bielefeld : transcript, 2024

1 Online-Ressource (318 Seiten)

Englisch

Erscheint auch als: AI in Museums (Druck-Ausgabe)

978-3-8394-6710-7

978-3-8376-6710-3 (ISBN der Printausgabe)

Elektronische Ressource: Zugang beim Produzenten (Lizenzangabe: Kostenfrei zugänglich ohne Registrierung)

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Kostenfrei zugänglich ohne Registrierung)

Digital Object Identifier (DOI): 10.1515/9783839467107

Rechteinformation und Access Status: CC BY 4.0 | Open Access

ST 300  | AK 86000      Ähnliche Literatur

069.028563

bisacsh: ART059000

*Digitalisierung ; Neue Medien ; Künstliche Intelligenz ; Museumskunde ; Maschinelles Lernen ; Deep learning ; Aufsatzsammlung      Zum Register

ART / Museum Studies ; Artificial Intelligence ; Culture ; Digital Media ; Digitality ; Digitalization ; Museology ; Science ; Technology ; ART059000 ; Artificial intelligence ; COMPUTERS / Artificial Intelligence ; COMPUTERS / Computer Science ; Computer-Anwendungen in Kunst und Geisteswissenschaften ; Information technology: general issues ; Künstliche Intelligenz ; Museology & heritage studies ; Museums- und Denkmalkunde

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 offers an overview of the current state of the debate.

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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.