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Understanding the Necessary Conditions of Multi-Source Trust Transfer in Artificial Intelligence

Renner, Maximilian; Lins, Sebastian; Söllner, Matthias; Thiebes, Scott ORCID iD icon; Sunyaev, Ali


Trust transfer is a promising perspective on prevalent discussions about trust in AI-capable technologies. However, the convergence of AI with other technologies challenges existing theoretical assumptions. First, it remains unanswered whether both trust in AI and the base technology is necessary for trust transfer. Second, a nuanced view on trust sources is needed, considering the dual role of trust. To address these issues, we examine whether trust in providers and trust in technologies are necessary trust conditions. We conducted a survey with 432 participants in the context of autonomous vehicles and applied necessary condition analysis. Our results indicate that trust in AI technology and vehicle technology are necessary sources. In contrast, only vehicle providers represent a necessary source. We contribute to research by providing a novel perspective on trust in AI, applying a promising data analysis method to reveal necessary trust sources, and consider duality of trust in trust transfer.

Preprint §
DOI: 10.5445/IR/1000137874
Veröffentlicht am 15.10.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 01.2022
Sprache Englisch
Identifikator ISBN: 978-0-9981331-5-7
KITopen-ID: 1000137874
Erschienen in 55th Hawaii International Conference on System Sciences (HICSS)
Veranstaltung 55th Hawaii International Conference on System Sciences (HICSS 2022), Online, 03.01.2022 – 07.01.2022
Seiten 5901-5910
Schlagwörter trust in artificial intelligence, trust transfer, necessary condition analysis, trust in autonomous vehicles
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