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[journal article]

dc.contributor.authorMakhortykh, Mykolade
dc.contributor.authorZucker, Evede
dc.contributor.authorSimon, Davidde
dc.contributor.authorBultmann, Danielde
dc.contributor.authorUlloa, Robertode
dc.date.accessioned2024-12-13T08:41:24Z
dc.date.available2024-12-13T08:41:24Z
dc.date.issued2023de
dc.identifier.issn2731-0809de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/98480
dc.description.abstractThe memorialization of mass atrocities such as war crimes and genocides facilitates the remembrance of past suffering, honors those who resisted the perpetrators, and helps prevent the distortion of historical facts. Digital technologies have transformed memorialization practices by enabling less top-down and more creative approaches to remember mass atrocities. At the same time, they may also facilitate the spread of denialism and distortion, attempt to justify past crimes and attack the dignity of victims. The emergence of generative forms of artificial intelligence (AI), which produce textual and visual content, has the potential to revolutionize the field of memorialization even further. AI can identify patterns in training data to create new narratives for representing and interpreting mass atrocities-and do so in a fraction of the time it takes for humans. The use of generative AI in this context raises numerous questions: For example, can the paucity of training data on mass atrocities distort how AI interprets some atrocity-related inquiries? How important is the ability to differentiate between human- and AI-made content concerning mass atrocities? Can AI-made content be used to promote false information concerning atrocities? This article addresses these and other questions by examining the opportunities and risks associated with using generative AIs for memorializing mass atrocities. It also discusses recommendations for AIs integration in memorialization practices to steer the use of these technologies toward a more ethical and sustainable direction.de
dc.languageende
dc.subject.ddcSoziologie, Anthropologiede
dc.subject.ddcSociology & anthropologyen
dc.subject.otherDigitale Gedenkpraxis; KI generierte Inhalte; Geschichtsleugnungde
dc.titleShall androids dream of genocides? How generative AI can change the future of memorialization of mass atrocitiesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalDiscover Artificial Intelligence
dc.source.volume3de
dc.publisher.countryDEUde
dc.subject.classozWissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologiede
dc.subject.classozSociology of Science, Sociology of Technology, Research on Science and Technologyen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesozGeschichtsbewusstseinde
dc.subject.thesozhistorical consciousnessen
dc.subject.thesozKriegsverbrechende
dc.subject.thesozwar crimeen
dc.subject.thesozErinnerungskulturde
dc.subject.thesozculture of remembranceen
dc.subject.thesozOpferde
dc.subject.thesozvictimen
dc.subject.thesozKriegsopferde
dc.subject.thesozwar victimen
dc.subject.thesoztechnischer Fortschrittde
dc.subject.thesoztechnological progressen
dc.subject.thesozTechnologiede
dc.subject.thesoztechnologyen
dc.subject.thesozEthikde
dc.subject.thesozethicsen
dc.subject.thesozDesinformationde
dc.subject.thesozdisinformationen
dc.identifier.urnurn:nbn:de:0168-ssoar-98480-6
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10043031
internal.identifier.thesoz10039214
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-17de
internal.identifier.classoz10220
internal.identifier.journal3194
internal.identifier.document32
internal.identifier.ddc301
dc.identifier.doihttps://doi.org/10.1007/s44163-023-00072-6de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validtrue
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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