Human-Level, but Non-Humanlike: Artificial Intelligence and a Multi-Level Relational Interpretation of the Imago Dei
The doctrine of the imago Dei is central for theological anthropology, but its meaning is still being disputed. With many equally appealing competing interpretations, it does not seem likely that a solution can emerge on theological grounds alone. This paper argues that a surprising lifeline can be...
| Auteur principal: | |
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| Type de support: | Électronique Article |
| Langue: | Anglais |
| Vérifier la disponibilité: | HBZ Gateway |
| Journals Online & Print: | En cours de chargement...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Publié: |
Mohr Siebeck
2021
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| Dans: |
Philosophy, theology and the sciences
Année: 2021, Volume: 8, Numéro: 1, Pages: 81-107 |
| RelBib Classification: | NBE Anthropologie NCJ Science et éthique |
| Sujets non-standardisés: | B
Imago Dei
B Strong artificial intelligence B Human distinctiveness B Relationality B Personhood |
| Accès en ligne: |
Accès probablement gratuit Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Résumé: | The doctrine of the imago Dei is central for theological anthropology, but its meaning is still being disputed. With many equally appealing competing interpretations, it does not seem likely that a solution can emerge on theological grounds alone. This paper argues that a surprising lifeline can be found in dialogue with the nascent field of artificial intelligence (AI). Looking at where AI currently struggles in its attempt to replicate human cognition and behavior provides strong clues that relationality is key for human distinctiveness. A hypothetical strong AI might achieve human-level intelligence, but it would likely be very non-humanlike. In such a scenario, human distinctiveness could best be accounted for by a relational interpretation, but one structured on multiple levels of varying theological commitment. |
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| ISSN: | 2197-2834 |
| Contient: | Enthalten in: Philosophy, theology and the sciences
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| Persistent identifiers: | DOI: 10.1628/ptsc-2021-0006 |