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Divine Alignment: A Survey-Based Study on How Religion Influences Expectations for AI Alignment
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Theology, Department of Theology.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study aimed to investigate the impact of religion on individuals' expectations for AI alignment. Drawing from an online survey with over 200 participants from the United States, the study revealed that one's religious affiliation shapes certain expectations towards AI alignment, notably indicating a tendency among religiously affiliated individuals to expect AI systems to underscore and prioritize their own beliefs. The study also showed that individuals with higher levels of religiosity hold stronger expectations that AI systems should align with the moral values of their religious traditions. Furthermore, while diverse religious affiliations are expected to lead to varying expectations from AI systems, empirical support for this hypothesis was largely limited. Overall, this study reaffirms that the issue of AI alignment involves not only technical challenges but also profound social implications, requiring careful consideration of religious diversity.

Place, publisher, year, edition, pages
2023. , p. 53
Keywords [en]
Religion, artificial intelligence, AI alignment
National Category
Religious Studies
Identifiers
URN: urn:nbn:se:uu:diva-504985OAI: oai:DiVA.org:uu-504985DiVA, id: diva2:1769193
Subject / course
The Study of Religion
Educational program
Master Programme in Religion in Peace and Conflict
Supervisors
Examiners
Available from: 2023-06-21 Created: 2023-06-16 Last updated: 2023-06-21Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf