Can machines be trustworthy?
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Can machines be trustworthy? / Søgaard, Anders.
I: AI and Ethics, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Can machines be trustworthy?
AU - Søgaard, Anders
PY - 2024
Y1 - 2024
N2 - AI regulators promote ‘trustworthy AI’, but what exactly does trustworthy AI mean, and what does it have to do with trust? Many philosophers argue that the phrase is a contradiction of terms. Trust, unlike reliance, is said to be a uniquely human relationship involving direct responsiveness or intent. I argue that the objective of trustworthy AI can be real trust in the general sense of Karen Jones and others, and very similar to the kind of trust we place in institutions. The idea that trustworthiness does not apply to machines, stems from a petitio principii fallacy. We show how to escape this fallacy, providing a better and less anthropomorphic definition of trustworthiness. We briefly discuss how transparency modulates trustworthiness on our revised definition, as well as a possible challenge from intentionality.
AB - AI regulators promote ‘trustworthy AI’, but what exactly does trustworthy AI mean, and what does it have to do with trust? Many philosophers argue that the phrase is a contradiction of terms. Trust, unlike reliance, is said to be a uniquely human relationship involving direct responsiveness or intent. I argue that the objective of trustworthy AI can be real trust in the general sense of Karen Jones and others, and very similar to the kind of trust we place in institutions. The idea that trustworthiness does not apply to machines, stems from a petitio principii fallacy. We show how to escape this fallacy, providing a better and less anthropomorphic definition of trustworthiness. We briefly discuss how transparency modulates trustworthiness on our revised definition, as well as a possible challenge from intentionality.
U2 - 10.1007/s43681-023-00351-z
DO - 10.1007/s43681-023-00351-z
M3 - Journal article
JO - AI and Ethics
JF - AI and Ethics
SN - 2730-5953
ER -
ID: 381731601