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Achieving Trustworthy Artificial Intelligence: Multi-Source Trust Transfer in Artificial Intelligence-capable Technology

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

Abstract:

Contemporary research focuses on examining trustworthy AI but neglects to consider trust transfer processes, proposing that users’ established trust in a familiar source (e.g., a technology or person) may transfer to a novel target. We argue that such trust transfer processes also occur in the case of novel AI-capable technologies, as they are the result of the convergence of AI with one or more base technologies. We develop a model with a focus on multi-source trust transfer while including the theoretical framework of trustduality (i.e., trust in providers and trust in technologies) to advance our understanding about trust transfer. A survey among 432 participants confirms that users transfer their trust from known technologies and providers (i.e., vehicle and AI technology) to AI-capable technologies and their providers. The study contributes by providing a novel theoretical perspective on establishing trustworthy AI by validating the importance of the duality of trust.

Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 12.2021
Sprache Englisch
Identifikator ISBN: 978-1-7336325-9-1
KITopen-ID: 1000138300
Erschienen in Building Sustainability and Resilience with IS: A Call fpr Action : ICIS 2021 proceedings ; 42nd International Conference on Information Systems (ICIS)
Veranstaltung 42nd International Conference on Information Systems (ICIS 2021), Austin, TX, USA, 12.12.2021 – 15.12.2021
Verlag AIS eLibrary (AISeL)
Externe Relationen Abstract/Volltext
Schlagwörter Trustworthy AI, Trust Transfer, Duality of Trust, AI-capable Technologies, Autonomous Vehicles, AI Convergence

Preprint §
DOI: 10.5445/IR/1000138300
Veröffentlicht am 15.10.2021
Seitenaufrufe: 274
seit 06.10.2021
Downloads: 540
seit 16.10.2021
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