The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
On trust in humans and trust in artificial intelligence: A study with samples from Singapore and Germany extending recent research
Open accessAbstract
The AI revolution is shaping societies around the world. People interact daily with a growing number of products and services that feature AI integration. Without doubt rapid developments in AI will bring positive outcomes, but also challenges. In this realm it is important to understand if people trust this omni-use technology, because trust represents an essential prerequisite (to be willing) to use AI products and this in turn likely has an impact on how much AI will be embraced by national economies with consequences for the local work forces. To shed more light on trusting AI, the present work aims to understand how much the variables trust in AI and trust in humans overlap. This is important to understand, because much is already known about trust in humans, and if the concepts overlap, much of our understanding of trust in humans might be transferable to trusting AI. In samples from Singapore (n = 535) and Germany (n = 954) we could observe varying degrees of positive relations between the trust in AI/humans variables. Whereas trust in AI/humans showed a small positive association in Germany, there was a moderate positive association in Singapore. Further, this paper revisits associations between individual differences in the Big Five of Personality and general attitudes towards AI including trust. The present work shows that trust in humans and trust in AI share only small amounts of variance, but this further depends on culture (varying here from about 4-10 percent o…
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Transparency promotes accountability by enabling oversight and ensuring that systems are developed and deployed in ways that respect societal values.
“Transparency promotes accountability by enabling oversight and ensuring that systems are developed and deployed in ways that respect societal values [7, 34].”
From Designing Responsible AI with Indigenous Communities: Towards Participatory AI with ovaHimba and San People in Namibia (2026) · cites this paper as [34]
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Cites
Rammstedt, B., & John, O. P. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2006.02.001 · Cited by 4,244
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Nature · doi:10.1038/466029a · Cited by 3,441
How General Is Trust in “Most People”? Solving the Radius of Trust Problem
Delhey, J., Newton, K., & Welzel, C. (2011) · American Sociological Review · doi:10.1177/0003122411420817 · Cited by 817
Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022) · Discover Psychology · doi:10.1007/s44202-022-00020-y · Cited by 175
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Research works printed but not linked: 12
- Alós-Ferrer, 2019, Trust games and beyond, Frontiers in Neuroscience, 13, 887, 10.3389/fnins.2019.00887 · DOI
- Evans, 2008, Survey and behavioral measurements of interpersonal trust, Journal of Research in Personality, 42, 1585, 10.1016/j.jrp.2008.07.011 · DOI · Paper page
- Feng, 2021, Common brain networks underlying human social interactions: Evidence from large-scale neuroimaging meta-analysis, Neuroscience & Biobehavioral Reviews, 126, 289, 10.1016/j.neubiorev.2021.03.025 · DOI
- Furman, 2019, AI and the economy, Innovation Policy and the Economy, 19, 161, 10.1086/699936 · DOI
- Melchers, 2016, Similar personality patterns are associated with empathy in four different countries, Frontiers in Psychology, 7, 10.3389/fpsyg.2016.00290 · DOI
- Montag, 2024, On artificial intelligence and global mental health, Asian Journal of Psychiatry, 91, 10.1016/j.ajp.2023.103855 · DOI
- Montag, 2023, Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging, Personality Neuroscience, 6, e3, 10.1017/pen.2022.5 · DOI
- Montag, 2024, Considering the IMPACT framework to understand the AI-well-being-complex from an interdisciplinary perspective, Telematics and Informatics Reports, 13, 10.1016/j.teler.2023.100112 · DOI
- Riedl, 2012, The biology of trust: Integrating evidence from genetics, endocrinology, and functional brain imaging, Journal of Neuroscience, Psychology, and Economics, 5, 63, 10.1037/a0026318 · DOI
- Sindermann, 2021, Assessing the attitude towards artificial intelligence: Introduction of a short measure in German, Chinese, and English language, KI - Künstliche Intelligenz, 35, 109, 10.1007/s13218-020-00689-0 · DOI · Paper page
- Suleyman, M., & Bhaskar, M. (2023). The coming wave: Technology, power, and the twenty-first century's greatest dilemma. Crown. · DOI
- Xu, 2023, Angiotensin blockade enhances motivational reward learning via enhancing striatal prediction error signaling and frontostriatal communication, Molecular Psychiatry, 28, 10.1038/s41380-023-02001-6 · DOI
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Indongo, N. N., Smith, R. C., Winschiers-Theophilus, H., Kandjengo, S., & Mbinge, U. (2026) · Proceedings of the 19th Participatory Design Conference 2026, Vol. 1: Full Papers · doi:10.1145/3796624.3796667 · Cited by 1
Metadata
- Authors
- Montag, C., Becker, B., & Li, B. J.
- Affiliations
- Universität Ulm (DE)
- University of Hong Kong (HK)
- Nanyang Technological University (SG)
- Corresponding author
- Montag, Christian
- Venue
- Computers in Human Behavior: Artificial Humans
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 2
- Issue
- 2
- Pages
- 100070
- ISSN
- 2949-8821 (ISSN-L)
- OpenAlex
- W4396792709
- Cited by
- 34
- References
- 4
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 5
- FWCI
- 16.23
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Artificial Humans (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Nanyang Technological University
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- trust in AI, Big Five personality traits, attitudes toward AI, cross-cultural comparison, artificial intelligence adoption, Singapore, Germany
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