Digital Trust and AI - A Replication Study on Trust in ChatGPT

dc.contributor.authorMelberg, Pernille
dc.contributor.authorHasani, Advije
dc.contributor.mentorKarg, Jona
dc.contributor.partnerHochschule für Wirtschaft FHNW, Institut für Wirtschaftsinformatik, Schweiz
dc.date.accessioned2025-12-15T13:38:33Z
dc.date.issued2025
dc.description.abstractArtificial Intelligence (AI) is reshaping society by enabling new opportunities in data processing and interpretation. However, the trustworthiness of AI systems – especially opaque “black box” models like ChatGPT – remains uncertain. As trust is subjective yet potentially crucial for user acceptance, this thesis examines and replicates a conceptual path model in Trust in AI to provide insights for trustworthy AI design and future research.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/54811
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleDigital Trust and AI - A Replication Study on Trust in ChatGPT
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeBachelor
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutBachelor of Sciencede_CH
relation.isMentorOfPublication38efec10-d5b0-4462-ac9d-31ab8d3b4910
relation.isMentorOfPublication.latestForDiscovery38efec10-d5b0-4462-ac9d-31ab8d3b4910
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Bachelor of Science