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In AI We Trust: Ethics, Artificial Intelligence, and Reliability
Open accessAbstract
One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in human relationships, so proposing that AI should be trusted, is a very serious claim. This paper will show that AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust because it does not possess emotive states or can be held responsible for their actions—requirements of the affective and normative accounts of trust. While AI meets all of the requirements of the rational account of trust, it will be shown that this is not actually a type of trust at all, but is instead, a form of reliance. Ultimately, even complex machines such as AI should not be viewed as trustworthy as this undermines the value of interpersonal trust, anthropomorphises AI, and diverts responsibility from those developing and using them.
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According to two of the most prevalent conceptions of trust, AIs are not capable of being trusted.
“However, according to two of the most prevalent conceptions of trust, AIs are not capable of being trusted [39].”
From Anthropomorphism in AI: hype and fallacy (2024) · cites this paper as [39]
AI lacks the capacity to be moved by trust or a sense of goodwill since it lacks any emotive states.
“However, AI lacks the capacity to be moved by trust or a sense of goodwill since it lacks any emotive states [39].”
From Anthropomorphism in AI: hype and fallacy (2024) · cites this paper as [39]
To be worthy of trust, a trustee must be capable of being trusted, which means having the competence to fulfil the trust placed in them.
“To be worthy of trust, they must be capable of being trusted, which means that they must have the competence to fulfil the trust that is placed in them [39].”
From Anthropomorphism in AI: hype and fallacy (2024) · cites this paper as [39]
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Metadata
- Authors
- Ryan, M.
- Affiliations
- KTH Royal Institute of Technology (SE)
- Corresponding author
- Ryan, Mark
- ORCID
- Ryan, Mark
- Venue
- Science and Engineering Ethics
- Published
- 2020-06-10
- Volume
- 26
- Issue
- 5
- Pages
- 2749-2767
- ISSN
- 1353-3452 (ISSN-L)
- 1471-5546
- PMC
- PMC7550313
- OpenAlex
- W3033094275
- Cited by
- 600
- References
- 49
- Citations by year
- 2026: 111 · 2025: 174 · 2024: 143 · 2023: 90 · 2022: 51 · 2021: 31
- FWCI
- 58.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Science and Engineering Ethics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Kungliga Tekniska Högskolan
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Law › Literary and Philosophical Studies
- Social Sciences › Arts and Humanities › Philosophy › Philosophical Ethics and Theory
- Keywords
- trustworthy AI, trust in AI, anthropomorphism of AI, reliance, moral responsibility, AI ethics guidelines, interpersonal trust
- MeSH terms
- Artificial Intelligence, Humans, Morals, Reproducibility of Results, Trust
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