Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.
This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence (AI) technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed starting from two Aristotelian conditions for respon...
| Publicado en: | Science & Engineering Ethics Vol. 26; no. 4; pp. 2051 - 2069 |
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| Formato: | Artículo |
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Springer Nature
Aug2020
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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=145047207&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145047207 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Aug2020 vid: 26 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 145047207 10.1007/s11948-019-00146-8 ppf: 2051 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 593KB tig: atl: Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability. aug: au: Coeckelbergh, Mark affil: Department of Philosophy, University of Vienna (Universität Wien), Universitätsstrasse 7 (NIG), 1180, Vienna, Austria su: Artificial intelligence Responsibility sug: subj: Artificial intelligence Responsibility keyword: Answerability Artificial intelligence (AI) Explainability Moral agency Moral patiency Problem of many hands Responsibility attribution Responsibility conditions Transparency ab: This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence (AI) technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed starting from two Aristotelian conditions for responsibility. Next to the well-known problem of many hands, the issue of "many things" is identified and the temporal dimension is emphasized when it comes to the control condition. Special attention is given to the epistemic condition, which draws attention to the issues of transparency and explainability. In contrast to standard discussions, however, it is then argued that this knowledge problem regarding agents of responsibility is linked to the other side of the responsibility relation: the addressees or "patients" of responsibility, who may demand reasons for actions and decisions made by using AI. Inspired by a relational approach, responsibility as answerability thus offers an important additional, if not primary, justification for explainability based, not on agency, but on patiency. 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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