Show simple item record

dc.contributor.authorAwad, E
dc.contributor.authorLevine, S
dc.contributor.authorAnderson, M
dc.contributor.authorAnderson, SL
dc.contributor.authorConitzer, V
dc.contributor.authorCrockett, MJ
dc.contributor.authorEverett, JAC
dc.contributor.authorEvgeniou, T
dc.contributor.authorGopnik, A
dc.contributor.authorJamison, JC
dc.contributor.authorKim, TW
dc.contributor.authorLiao, SM
dc.contributor.authorMeyer, MN
dc.contributor.authorMikhail, J
dc.contributor.authorOpoku-Agyemang, K
dc.contributor.authorBorg, JS
dc.contributor.authorSchroeder, J
dc.contributor.authorSinnott-Armstrong, W
dc.contributor.authorSlavkovik, M
dc.contributor.authorTenenbaum, JB
dc.date.accessioned2022-04-04T10:48:43Z
dc.date.issued2022-03-29
dc.date.updated2022-04-04T10:34:45Z
dc.description.abstractTechnological advances are enabling roles for machines that present novel ethical challenges. The study of 'AI ethics' has emerged to confront these challenges, and connects perspectives from philosophy, computer science, law, and economics. Less represented in these interdisciplinary efforts is the perspective of cognitive science. We propose a framework – computational ethics – that specifies how the ethical challenges of AI can be partially addressed by incorporating the study of human moral decision-making. The driver of this framework is a computational version of reflective equilibrium (RE), an approach that seeks coherence between considered judgments and governing principles. The framework has two goals: (i) to inform the engineering of ethical AI systems, and (ii) to characterize human moral judgment and decision-making in computational terms. Working jointly towards these two goals will create the opportunity to integrate diverse research questions, bring together multiple academic communities, uncover new interdisciplinary research topics, and shed light on centuries-old philosophical questions.en_GB
dc.description.sponsorshipTempleton World Charity Foundationen_GB
dc.identifier.citationPublished online 29 March 2022en_GB
dc.identifier.doihttps://doi.org/10.1016/j.tics.2022.02.009
dc.identifier.grantnumberTWCF0321en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129261
dc.identifierORCID: 0000-0003-2671-1153 (Jamison, Julian C)
dc.language.isoenen_GB
dc.publisherElsevier (Cell Press)en_GB
dc.rights©2022The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectethicsen_GB
dc.subjectcomputationen_GB
dc.subjectmoral psychologyen_GB
dc.subjectAI ethicsen_GB
dc.subjectmachine ethicsen_GB
dc.subjectmoral cognitionen_GB
dc.titleComputational ethicsen_GB
dc.typeArticleen_GB
dc.date.available2022-04-04T10:48:43Z
dc.identifier.issn1364-6613
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalTrends in Cognitive Sciencesen_GB
dc.relation.ispartofTrends in Cognitive Sciences
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-03-29
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-04-04T10:45:47Z
refterms.versionFCDVoR
refterms.dateFOA2022-04-04T10:49:01Z
refterms.panelCen_GB


Files in this item

This item appears in the following Collection(s)

Show simple item record

©2022The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as ©2022The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).