What kind of trust does AI deserve, if any?
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Trust is an overarching theme that arises in all previously discussed topics and the development and deployment of AI generally.
“Trust is an overarching theme that arises in all previously discussed topics and the development and deployment of AI generally [5, 138, 139, 145, 146].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [145]
The opacity of AI systems is ethically problematic because we cannot trust them if even the best experts do not completely understand how they work.
“The opacity of AI systems is ethically problematic because one might argue that we should not use these devices if we cannot trust them, and we cannot trust them if even the best experts do not completely understand how they work [6, 7, 39, 47, 63, 186].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [7]
Making AI explainable does not completely solve the black box problem but it can play a key role in promoting transparency, accountability, and trust.
“making AI explainable does not completely solve the black box problem but it can play a key role in promoting transparency, accountability, and trust [7, 9].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [7]
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Wágner, R. (2023) · Zeitschrift für medizinische Ethik · doi:10.30965/29498570-20230010 · Cited by 1 · see citing works
Introduction: Instruments of Futures Past
Alvarado, R. (2023) · Synthese Library/Synthese library · doi:10.1007/978-3-031-38647-3_1
Self-citationImplications of the Instruments View of Computer Simulation
Alvarado, R. (2023) · Synthese Library/Synthese library · doi:10.1007/978-3-031-38647-3_7
Self-citationTechnical Artifacts, Instruments and a Working Definition for Computer Simulations
Alvarado, R. (2023) · Synthese Library/Synthese library · doi:10.1007/978-3-031-38647-3_5
Self-citationBeing Pragmatic About Reliance and Trust in Artificial IntelligencePreprint
Ferrario, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5148249
Selected Abstracts from the 2025 International Neuroethics Society Annual Meeting
McCall, I. C. (2025) · AJOB Neuroscience · doi:10.1080/21507740.2025.2520287
Epistemic and Emotional Trust in the Social Framing of ChatGPT
Butler-Ulrich, T. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-17272-3_6
Expertise, opacity, and trust in AI systems
Boisseau, É. (2026) · Synthese · doi:10.1007/s11229-026-05484-2
Trusting Generative AI for Health Advice: A Pre-Registered Survey Experiment (Preprint)Preprint
Landrum, A. R., Verma, N., & Kehrberg, A. K. (2026) · doi:10.2196/preprints.97882
Advancing sustainable construction: a trust-enhanced model of AI adoption and actual usePreprint
Regona, M., Yiğitcanlar, T., Hon, C. K. H., & Teo, M. M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6614001
Beyond the algorithm: embedding ethics for trustworthy AI in radiology and oncology
Abadía, M. C., & Goisauf, M. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1756256
Artificial intelligence-supported health counseling scale (AI-HCS): a reliability and validity study
GÖDE, A. (2026) · PeerJ Computer Science · doi:10.7717/peerj-cs.3937
Can We Place Epistemic Trust in AI?
Wang, J. (2026) · Philosophy of engineering and technology · doi:10.1007/978-981-95-8023-1_11
Explicability or Openness as the Fifth Principle in AI Ethics: A Proposal and Critique
Jia, X. (2026) · Philosophy of engineering and technology · doi:10.1007/978-981-95-8023-1_3
Advancing sustainable construction: A trust-enhanced model of AI adoption and realised use
Regona, M., Yiğitcanlar, T., Hon, C. K. H., & Teo, M. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107755
Mahlaba, S. C. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1783496 · Cited by 1 · see citing works
Social Perception and Trust Pathways in Generative AI: Implications for Delegation and Decision Aid
Noh, H., Rim, H. B., & Kim, B. (2026) · SAGE Open · doi:10.1177/21582440261490992
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Trustworthy AI Is Not Valuable
Lim, J. (2026) · Journal of Applied Philosophy · doi:10.1002/japp.70137
- Authors
- Alvarado, R.
- Affiliations
- University of Oregon (US)
- Corresponding author
- Alvarado, Ramón
- ORCID
- Alvarado, Ramón
- Venue
- AI and Ethics
- Published
- 2022-11-07
- Volume
- 3
- Issue
- 4
- Pages
- 1169-1183
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- OpenAlex
- W4309334973
- Cited by
- 60
- References
- 78
- Citations by year
- 2026: 24 · 2025: 20 · 2024: 9 · 2023: 7
- FWCI
- 10.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- AI and Ethics (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Keywords
- trust in AI, epistemic trust, interpersonal trust
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