The Art of Machine Learning Examining consumers’ understandings of AI generated art

dc.contributor.advisorFranco, P.
dc.contributor.authorHuang, Ray
dc.date.issued2023-07-11
dc.description.abstractAI image generators are a technology that recently became more available to the public, this increased its popularity and usage. However, controversy arose around the use of AI image generators for creating art. This has affected the adoption of the technology. While a group of people do adopt the technology, there is also a group that doesn’t. This can happen because of various reasons. Traditional adoption theories look at rational decision making to decide whether to adopt a new technology or not. However, this is not always the case, as can be seen in this study. My thesis adds to existing adoption theories by putting a bigger emphasis on social and cultural factors. My thesis examined what consumers’ understandings of AI image generators are, how these get shaped, and how the understandings affect adoption. Data has been collected from a total of 17 participants through semi-structured interviews and 10 weeks of netnographic fieldwork. The results showed that understandings can be divided into 3 categories: authenticity, time and effort, and quality. These understandings get shaped through heterogenous interactions between humans and non-humans. People will choose different types of adoptions through these understandings.
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/16581
dc.language.isoen
dc.thesis.facultyFaculteit der Managementwetenschappen
dc.thesis.specialisationspecialisations::Faculteit der Managementwetenschappen::Master Business Administration::Innovation and Entrepreneurship
dc.thesis.studyprogrammestudyprogrammes::Faculteit der Managementwetenschappen::Master Business Administration
dc.thesis.typeMaster
dc.titleThe Art of Machine Learning Examining consumers’ understandings of AI generated art
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