Trust, trustworthiness and AI governance

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_675EE1A8B450
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Trust, trustworthiness and AI governance
Journal
Nature Scientific Reports
Author(s)
Lahusen Christian, Maggetti Martino, Slavkovik Marija
ISSN
2045-2322
ISSN-L
2045-2322
Publication state
Published
Issued date
05/09/2024
Peer-reviewed
Oui
Volume
14
Number
1
Language
english
Abstract
An emerging issue in AI alignment is the use of artificial intelligence (AI) by public authorities, and specifically the integration of algorithmic decision-making (ADM) into core state functions. In this context, the alignment of AI with the values related to the notions of trust and trustworthiness constitutes a particularly sensitive problem from a theoretical, empirical, and normative perspective. In this paper, we offer an interdisciplinary overview of the scholarship on trust in sociology, political science, and computer science anchored in artificial intelligence. On this basis, we argue that only a coherent and comprehensive interdisciplinary approach making sense of the different properties attributed to trust and trustworthiness can convey a proper understanding of complex watchful trust dynamics in a socio-technical context. Ensuring the trustworthiness of AI-Governance ultimately requires an understanding of how to combine trust-related values while addressing machines, humans and institutions at the same time. We offer a road-map of the steps that could be taken to address the challenges identified.
Pubmed
Open Access
Yes
Create date
13/09/2024 14:53
Last modification date
21/09/2024 7:09
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