%0 Conference Paper %1 maximilian2022understanding %A Renner, Maximilian %A Lins, Sebastian %A Söllner, Matthias %A Thiebes, Scott %A Sunyaev, Ali %B Proceedings of the 55th Hawaii International Conference on System Sciences %D 2022 %I Hawaii International Conference on System Sciences %K itegpub pub_msö pub_wise-kassel %T Understanding the Necessary Conditions of Multi-Source Trust Transfer in Artificial Intelligence %X Trust plays an increasingly important role, especially in new emerging AI-capable technologies. While different frameworks on establishing trustworthy AI were developed, extant research mostly neglects trust transfer mechanisms. We focus on multi-source trust transfer while taking a dual trust perspective including trust in provider and trust in technology. Our study falls in the context of autonomous vehicles as a target and AI and vehicles as sources. While conducting a survey with 432 participants, we applied necessary condition analysis to understand which sources are necessary for a multi-source trust transfer. Our results indicate that for trust in technology, AI and vehicle technology are necessary sources. In contrast, for trust in provider, only vehicle provider represents a necessary source. We contribute to research by providing a fresh perspective on trust in AI-capable technologies, applying a novel data analysis method to reveal necessary trust sources, and consider duality of trust in trust transfer.

@inproceedings{maximilian2022understanding, abstract = {Trust plays an increasingly important role, especially in new emerging AI-capable technologies. While different frameworks on establishing trustworthy AI were developed, extant research mostly neglects trust transfer mechanisms. We focus on multi-source trust transfer while taking a dual trust perspective including trust in provider and trust in technology. Our study falls in the context of autonomous vehicles as a target and AI and vehicles as sources. While conducting a survey with 432 participants, we applied necessary condition analysis to understand which sources are necessary for a multi-source trust transfer. Our results indicate that for trust in technology, AI and vehicle technology are necessary sources. In contrast, for trust in provider, only vehicle provider represents a necessary source. We contribute to research by providing a fresh perspective on trust in AI-capable technologies, applying a novel data analysis method to reveal necessary trust sources, and consider duality of trust in trust transfer.}, added-at = {2021-10-05T12:46:13.000+0200}, author = {Renner, Maximilian and Lins, Sebastian and Söllner, Matthias and Thiebes, Scott and Sunyaev, Ali}, biburl = {https://www.bibsonomy.org/bibtex/29df7cbf3661b0d461106379d3e2b66c1/wise-kassel}, booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences}, eventdate = {04.01.2022 - 07.01.2022}, interhash = {9e449c1a76c24cfffafb736ad42f5d88}, intrahash = {9df7cbf3661b0d461106379d3e2b66c1}, keywords = {itegpub pub_msö pub_wise-kassel}, publisher = {Hawaii International Conference on System Sciences}, timestamp = {2021-10-05T12:56:59.000+0200}, title = {Understanding the Necessary Conditions of Multi-Source Trust Transfer in Artificial Intelligence}, year = 2022 }