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AI and Swedish Heri...
AI and Swedish Heritage Organisations : challenges and opportunities
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- Griffin, Gabriele, Prof, 1957- (author)
- Uppsala universitet,Centrum för genusvetenskap
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- Wennerström, Elisabeth (author)
- Uppsala universitet,Centrumbildning i Digital Humaniora
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- Foka, Anna, 1981- (author)
- Uppsala universitet,Centrumbildning i Digital Humaniora
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(creator_code:org_t)
- 2023
- 2023
- English.
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In: AI & Society. - : Springer Nature. - 0951-5666 .- 1435-5655.
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https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
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Abstract
Subject headings
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- This article examines the challenges and opportunities that arise with artificial intelligence (AI) and machine learning (ML) methods and tools when implemented within cultural heritage institutions (CHIs), focusing on three selected Swedish case studies. The article centres on the perspectives of the CHI professionals who deliver that implementation. Its purpose is to elucidate how CHI professionals respond to the opportunities and challenges AI/ML provides. The three Swedish CHIs discussed here represent different organizational frameworks and have different types of collections, while sharing, to some extent, a similar position in terms of the use of AI/ML tools and methodologies. The overarching question of this article is what is the state of knowledge about AI/ML among Swedish CHI professionals, and what are the related issues? To answer this question, we draw on (1) semi-structured interviews with CHI professionals, (2) individual CHI website information, and (3) CHI-internal digitization protocols and digitalization strategies, to provide a nuanced analysis of both professional and organisational processes concerning the implementation of AI/ML methods and tools. Our study indicates that AI/ML implementation is in many ways at the very early stages of implementation in Swedish CHIs. The CHI professionals are affected in their AI/ML engagement by four key issues that emerged in the interviews: their institutional and professional knowledge regarding AI/ML; the specificities of their collections and associated digitization and digitalization issues; issues around personnel; and issues around AI/ML resources. The article suggests that a national CHI strategy for AI/ML might be helpful as would be knowledge-, expertise-, and potentially personnel- and resource-sharing to move beyond the constraints that the CHIs face in implementing AI/ML.
Subject headings
- HUMANIORA -- Annan humaniora (hsv//swe)
- HUMANITIES -- Other Humanities (hsv//eng)
- HUMANIORA -- Annan humaniora -- Kulturstudier (hsv//swe)
- HUMANITIES -- Other Humanities -- Cultural Studies (hsv//eng)
- HUMANIORA -- Annan humaniora -- Övrig annan humaniora (hsv//swe)
- HUMANITIES -- Other Humanities -- Other Humanities not elsewhere specified (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Övrig annan samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences -- Other Social Sciences not elsewhere specified (hsv//eng)
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Arbetslivsstudier (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences -- Work Sciences (hsv//eng)
Keyword
- AI/ML implementation
- Cultural heritage professionals
- Cultural heritage management
- Digital management of collections
- Organization
- Machine learning
- Maskininlärning
- Artificiell intelligens
- Artificial Intelligence
- Medie- och kommunikationsvetenskap
- Media and Communication Studies
Publication and Content Type
- ref (subject category)
- art (subject category)
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