The importance of an ethical framework for trust calibration in AI

Schmid, Amelie; Wiesche, Manuel

The importance of an ethical framework for trust calibration in AI

dc.contributor.author	Schmid, Amelie
dc.contributor.author	Wiesche, Manuel
dc.date.accessioned	2024-06-28T08:26:26Z
dc.date.available	2024-06-28T08:26:26Z
dc.date.issued	2023-09-29
dc.description.abstract	The transformative power of AI raises serious concerns about ethical issues within organizations and implicates the need for trust. To cope with that, numerous ethical frameworks are generally published, but only on a theoretical level. Furthermore, proper trust calibration in AI is of high relevance for the workers. Up to now, only limited studies have been carried out to investigate how an ethical framework can foster proper trust calibration of workers in practice. To close this gap, an ethical framework is investigated that ensures trust calibration by targeting AI reliability and AI safety. Finally, the effectiveness of the applied framework is evaluated based on 17 interviews within an international automotive supplier. As a result, this ethical framework led to a major increase in trust. This is a groundbreaking outcome since workers are willing to accept a lower level of AI safety and AI reliability at the same time.	de
dc.identifier.uri	http://hdl.handle.net/2003/42563
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-24399
dc.language.iso	en	de
dc.relation.ispartofseries	IEEE Intelligent Systems;38(6)
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	de
dc.subject	artificial intelligence	de
dc.subject	ethics	de
dc.subject	calibration	de
dc.subject	reliability	de
dc.subject	safety	de
dc.subject	organizations	de
dc.subject	manufacturing	de
dc.subject	trusted computing	de
dc.subject.ddc	330
dc.title	The importance of an ethical framework for trust calibration in AI	de
dc.type	Text	de
dc.type.publicationtype	Article	de
dcterms.accessRights	open access
eldorado.secondarypublication	true	de
eldorado.secondarypublication.primarycitation	A. Schmid und M. Wiesche, „The importance of an ethical framework for trust calibration in AI“, IEEE intelligent systems / Institute of Electrical and Electronics Engineers, Bd. 38, Nr. 6, S. 27–34, 2023, doi: 10.1109/mis.2023.3320443	de
eldorado.secondarypublication.primaryidentifier	https://doi.org/10.1109/mis.2023.3320443	de

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