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AI-implementering i sikte: En fördjupad analys av de avgörande faktorerna för framgång i AI-förberedelser
2023 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
AI-implementation in sight : An in-depth analysis of the critical factors for success in AI preparation (English)
Abstract [sv]

Denna studie undersöker de svårigheter som företag möter vid implementering av artificiell intelligens (AI) och undersöker strategier för framgångsrik integrering av AI. Genom en kombination av semistrukturerade intervjuer och en omfattande litteraturstudie användes en induktiv metod för att analysera de utmaningar som företag stöter på före implementeringsprocessen. Resultaten avslöjar flera nyckelområden av bekymmer, inklusive teknisk spridning, samarbetsbaserad design, utbildning, arbetsmiljö, arbetsmarknadsdynamik och moraliska överväganden. Genom att ta itu med dessa utmaningar kan företag navigera effektivare genom AI-implementeringens komplexiteter. Denna studie ger insikter om de avgörande faktorer som påverkar framgångsrik integration av AI-system i organisatoriska sammanhang. Förståelsen av dessa utmaningar och användningen av lämpliga strategier är avgörande för företag som vill utnyttja potentialen hos AI. 

Abstract [en]

This paper explores the difficulties faced by companies when implementing artificial intelligence (AI) and investigates strategies for successful AI integration. Through a combination of semi-structured interviews and a comprehensive literature review, an inductive approach was employed to analyze the challenges encountered by companies before the implementation process. The findings reveal several key areas of concern, including technical diffusion, customer collaboration, education, workers' health, labor market dynamics, and moral considerations. By addressing these challenges, companies can navigate the complexities of AI-implementation more effectively. This paper provides insights into the critical factors that influence the successful integration of AI systems in organizational settings. Understanding these challenges and employing appropriate strategies is crucial for companies seeking to harness the potential of AI while mitigating associated risks

Place, publisher, year, edition, pages
2023.
Keywords [en]
Artificial Intelligence, Machine learning, Customer collaboration, Technological diffusion, Technological maturity, Ethics, Moral
Keywords [sv]
Artificiell intelligens, Maskininlärning, Kundsamarbete, Teknisk spridning, Teknisk mognad, Etik, Moral
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hb:diva-31209OAI: oai:DiVA.org:hb-31209DiVA, id: diva2:1826010
Subject / course
Informatics
Available from: 2024-01-10 Created: 2024-01-10 Last updated: 2024-01-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • harvard-cite-them-right
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Language
  • de-DE
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  • sv-SE
  • Other locale
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Output format
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