transcript
AI in Museums
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Edited by:
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About this book
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.
Author / Editor information
Johannes C. Bernhardt ist Kulturhistoriker und lehrt an der Universität Konstanz. Nach Stationen an den Universitäten Freiburg, Mannheim und Bochum arbeitete er von 2017 bis 2023 am Badischen Landesmuseum an der Schnittstelle von Digitalität und Partizipation, der Entwicklung des Digitalen Museums und Anwendungen Künstlicher Intelligenz. Schwerpunkte seiner Arbeit sind die Alte Geschichte, Kulturmanagement und digitale Transformation.
Reviews
Besprochen in:
https://chatainews.blogspot.com, 27.12.2023
www.kulturmanagement.net, 17.01.2024
https://kulturimweb.net, 31.01.2024
pro zukunft, 3 (2024), Katharina Kiening
Magasinet MUSEUM, 1 (2024)
Supplementary Materials
Topics
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Frontmatter
1 -
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Contents
5 -
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Foreword
9 -
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Introduction
11 - Part 1: Reflections
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The Role of Culture in the Intelligence of AI
23 -
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Why AI Cannot Think
31 -
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AI and Art
41 -
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The Hidden Costs of AI
57 -
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Dead End or Way Out?
65 -
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Power, Data and Control
73 -
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Managing AI
83 -
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Museum-AI Assemblages
99 - Part 2: Perspectives
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AI with Museums and Cultural Heritage
117 -
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Troubleshoot?
131 -
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Digital Curation and AI
149 -
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Teaching Provenance to AI
163 -
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The Funding Program LINK—AI and Culture
173 -
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Discovering Culture with AI
181 -
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Post-Truth
187 -
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Impostor Syndrome
199 - Part 3: Applications
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Algorithmic Exhibition-Making
209 -
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Evaluating the Blackbox
217 -
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Clouds of Symbols
225 -
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xCurator
233 -
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Say the Image, Don’t Make It
245 -
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CHIM—Chatbot in the Museum
257 -
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With AI to Art!
265 -
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Exploring Beyond the Exhibits
273 -
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Tracking the Visitor
287 -
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Symotiv
295 -
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Notes on Contributors
303 -
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Abstracts
311