In AI We Trust: Ethics, Artificial Intelligence, and Reliability.
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 po...
| Publicado en: | Science & Engineering Ethics Vol. 26; no. 5; pp. 2749 - 2768 |
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| Formato: | Artículo |
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Springer Nature
Oct2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=146390925&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 146390925 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Oct2020 vid: 26 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 146390925 10.1007/s11948-020-00228-y ppf: 2749 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 629KB tig: atl: In AI We Trust: Ethics, Artificial Intelligence, and Reliability. aug: au: Ryan, Mark affil: The Division of Philosophy, KTH Royal Institute of Technology, Stockholm, Sweden su: European Commission Artificial intelligence Simple machines Artificial intelligence & ethics Definitions sug: subj: European Commission Artificial intelligence Simple machines Artificial intelligence & ethics Definitions keyword: Artificial intelligence ethics European commission high-level expert group Philosophy of trust Reliability Trustworthy AI ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2020. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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