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dc.contributor.authorSchwarting, Marcus
dc.date.accessioned2024-11-18T14:55:00Z
dc.date.available2024-11-18T14:55:00Z
dc.date.issued2024
dc.identifier.urihttp://hdl.handle.net/20.500.12424/4320914
dc.language.isoengen_US
dc.publisherEvangelical Lutheran Church in Americaen_US
dc.rightsAll rights reserveden_US
dc.subjectLutheran ethicsen_US
dc.subjectArtificial intelligenceen_US
dc.subject.otherEthics of artificial intelligence/machine learningen_US
dc.subject.otherComparative religious ethicsen_US
dc.subject.otherSpecific religion, Christianityen_US
dc.subject.otherChristian denominationsen_US
dc.subject.otherLutheranen_US
dc.titleThe technical and ethical challenges of generative model alignmenten_US
dc.typeArticleen_US
dc.source.journaltitleJournal of Lutheran Ethicsen_US
dc.source.volume24en_US
dc.source.issue4en_US
ge.collectioncode1538-5264
ge.collectioncodeCB
ge.submissions1
ge.peerreviewedyesen_US
ge.setnameGlobeTheoLib
ge.setspecglobetheolib
ge.linkhttps://learn.elca.org/jle/the-technical-and-ethical-challenges-of-generative-model-alignment/en_US


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