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dc.contributor.authorSaariluoma, Pertti
dc.contributor.editorRauterberg, Matthias
dc.date.accessioned2021-01-27T06:59:09Z
dc.date.available2021-01-27T06:59:09Z
dc.date.issued2020
dc.identifier.citationSaariluoma, P. (2020). Hume’s Guillotine Resolved. In M. Rauterberg (Ed.), <i>Culture and Computing. 8th International Conference, C&C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings</i> (pp. 123-132). Springer. Lecture Notes in Computer Science, 12215. <a href="https://doi.org/10.1007/978-3-030-50267-6_10" target="_blank">https://doi.org/10.1007/978-3-030-50267-6_10</a>
dc.identifier.otherCONVID_41556038
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/73841
dc.description.abstractAccording to Hume’s guillotine, one cannot derive values from facts. Since intelligent systems are fact processors, one can ask how ethical machines can be possible. However, ethics is a real-life process. People analyze actions and situations emotionally and cognitively. Thus they learn rules, such as “this situation feels good/bad.” The cognitive analysis of actions is associated with emotional analysis. The association of action, emotion and cognition can be termed a primary ethical schema. Through an ethical information process in which emotions and cognitions interact in social discourse, primary ethical schemas are refined into ethical norms. Each component of the process is different, but they cooperate to construct an ethical approach to thinking. Hume’s guillotine mistakenly breaks down primary ethical schemas and juxtaposes emotions and cognitions. There is no ethics without coordinated emotional, cognitive and social analysis. Therefore, his theory can be seen as a pseudo problem. In the future, ethical processes will involve intelligent systems that can make ethical choices. Weak ethical artificial intelligence (AI) systems can apply given ethical rules to data, while strong ethical AI systems can derive their own rules from data and knowledge about human emotions. Resolving Hume’s guillotine introduces new ways to develop stronger forms of ethical AI.en
dc.format.extent462
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofCulture and Computing. 8th International Conference, C&C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsIn Copyright
dc.subject.otherHumen giljotiini
dc.subject.otherHume’s guillotine
dc.subject.otherintelligent system
dc.subject.otherethical information processes
dc.titleHume’s Guillotine Resolved
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202101271302
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineKognitiotiedefi
dc.contributor.oppiaineCognitive Scienceen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-3-030-50266-9
dc.description.reviewstatuspeerReviewed
dc.format.pagerange123-132
dc.relation.issn0302-9743
dc.type.versionacceptedVersion
dc.rights.copyright© Springer Nature Switzerland AG 2020
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Human-Computer Interaction
dc.relation.grantnumber327354
dc.subject.ysokognitio
dc.subject.ysojärjestelmäsuunnittelu
dc.subject.ysoetiikka
dc.subject.ysotunteet
dc.subject.ysososiaaliset normit
dc.subject.ysotekoäly
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p642
jyx.subject.urihttp://www.yso.fi/onto/yso/p28347
jyx.subject.urihttp://www.yso.fi/onto/yso/p3166
jyx.subject.urihttp://www.yso.fi/onto/yso/p3485
jyx.subject.urihttp://www.yso.fi/onto/yso/p7135
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-030-50267-6_10
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramStrategisen tutkimuksen ohjelmat STN, SAfi
jyx.fundingprogramStrategic research programmes, AoFen


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