Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices

By M. Hengstler, Ellen Enkel, Selina Duelli. 2016

605 citations recorded by the source corpus.

Subfields: Information Systems, Safety Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/203b30269d27e158cd26bd1f47c3207f52e6aec8

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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Citations in the corpus

Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “Pointing out the widespread skepticism associated with the immaturity of existing AI (Hengstler, Enkel, & Duelli, 2016) and the difficulties associated with the acceptance of new technologies (Leonardi, 2009), some researchers suggest that low level of trust from an initial encounter may increase…”
Artificial Intelligence for Mental Health and Mental Illnesses: An Overview (2019, background): “While AI is beginning to be leveraged in clinical settings (e.g., medical imaging, genetic testing) [8], we are still far from routine adoption of AI in healthcare, as the stakes (and potential risks) are much greater than those of the AI that facilitates our modern-day conveniences [9].”
Artificial intelligence in operations management and supply chain management: an exploratory case study (2021, background): “Many researchers adapt known algorithms to their needs and propose a new name, so that numerous different AI approaches are introduced (Hengstler, Enkel, and Duelli 2016).”
Transparency and trust in artificial intelligence systems (2020, background): “Hengstler et al. (2016) present a comprehensive overview of existing case studies in transportation and medical sectors that allow insights into how firms systematically increase trust in applied AI.”
Security for 5G and Beyond (2019, background): “Automation leveraging AI is already happening in many areas related to communication networks, for instance, in autonomous vehicles [356], [361].”
Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives (2020, background): “Trust in AI-based tools (such as AI medical devices) is found to be a significant factor affecting adoption decisions [40].”
Alexa, she's not human but… Unveiling the drivers of consumers' trust in voice‐based artificial intelligence (2021, background): “…in technology is examined by the predictability of the technology (McKnight et al., 2009), yet more contemporary literature draws attention to trust being built on its dependability, which is enhanced through having faith in their interactions (Ghazizadeh et al., 2012; Hengstler et al., 2016).”