Simulating Moral Identity in Artificial Intelligence: An Empirical Analysis of Large Language Models
- DOI
- 10.7910/dvn/tlkxaz
- Published
- 2026
- Container
- Not recorded
- Publisher
- Harvard Dataverse
- Open access
- yes
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limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.7910/dvn/tlkxaz,
title = {Simulating Moral Identity in Artificial Intelligence: An Empirical Analysis of Large Language Models},
author = {Nabizadehchianeh, Davin},
year = {2026},
doi = {10.7910/dvn/tlkxaz},
url = {https://doi.org/10.7910/dvn/tlkxaz}
}RIS
TY - JOUR TI - Simulating Moral Identity in Artificial Intelligence: An Empirical Analysis of Large Language Models AU - Nabizadehchianeh, Davin PY - 2026 DO - 10.7910/dvn/tlkxaz UR - https://doi.org/10.7910/dvn/tlkxaz ER -
APA
Davin, N. (2026). Simulating Moral Identity in Artificial Intelligence: An Empirical Analysis of Large Language Models. https://doi.org/10.7910/dvn/tlkxaz
Source records
- datacite · retrieved 2026-11-10T08:47:56.170Z