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Artificial Intelligence-Driven Convergence and its Moderating Effect on Multi-Source Trust Transfer

Renner, Maximilian 1; Lins, Sebastian 1; Söllner, Matthias; Jarvenpaa, Sirkka L.; Sunyaev, Ali
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

AI-driven convergence describes how innovative products emerge from the interplay of embedded artificial intelligence (AI) in existing technologies. Trust transfer theory provides an excellent opportunity to deepen prevailing discussions about trust in such converged products. However, AI-driven convergence challenges existing theoretical assumptions. The context-specific interplay of multiple trust sources may affect users’ trust transfer and the predominance of trust sources. We contextualized AI-driven convergence and investigated its impact on multi-source trust transfer. We conducted semi-structured interviews with 25 participants in the context of autonomous vehicles. Our results indicate that users’ perceived trust source control, perceived trust source accessibility, and perceived trust source value creation share may moderate users’ trust transfer. We contribute to research by contextualizing convergence in AI, revealing the impact of AI-driven convergence on trust transfer and the importance of trust as a dynamic construct.


Preprint §
DOI: 10.5445/IR/1000151119
Veröffentlicht am 11.10.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 01.2023
Sprache Englisch
Identifikator ISBN: 978-0-9981331-6-4
ISSN: 2572-6862
KITopen-ID: 1000151119
Erschienen in Proceedings of the 56th Annual Hawaii International Conference on System Sciences : January 3-6, 2023. Ed.: T. Bui
Veranstaltung 56th Hawaii International Conference on System Sciences (HICSS 2023), Maui, Hawaii, 03.01.2023 – 06.01.2023
Verlag University of Hawaii
Seiten 5208-5217
Serie Proceedings of the Annual Hawaii International Conference on System Sciences
Schlagwörter Trust transfer, trust in technology, convergence, AI-driven convergence, autonomous vehicles
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