Journal article
Know thyself, improve thyself: personalized LLMs for self-knowledge and moral enhancement
- Abstract:
- In this paper, we suggest that personalized LLMs trained on information written by or otherwise pertaining to an individual could serve as artificial moral advisors (AMAs) that account for the dynamic nature of personal morality. These LLM-based AMAs would harness users’ past and present data to infer and make explicit their sometimes-shifting values and preferences, thereby fostering self-knowledge. Further, these systems may also assist in processes of self-creation, by helping users reflect on the kind of person they want to be and the actions and goals necessary for so becoming. The feasibility of LLMs providing such personalized moral insights remains uncertain pending further technical development. Nevertheless, we argue that this approach addresses limitations in existing AMA proposals reliant on either predetermined values or introspective self-knowledge.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 634.7KB, Terms of use)
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- Publisher copy:
- 10.1007/s11948-024-00518-9
Authors
+ Wellcome Trust
More from this funder
- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 203132/Z/16/Z
- Publisher:
- Springer Nature
- Journal:
- Science and Engineering Ethics More from this journal
- Volume:
- 30
- Issue:
- 6
- Article number:
- 54
- Publication date:
- 2024-11-21
- Acceptance date:
- 2024-10-10
- DOI:
- EISSN:
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1471-5546
- ISSN:
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1353-3452
- Language:
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English
- Keywords:
- Pubs id:
-
2037599
- Local pid:
-
pubs:2037599
- Deposit date:
-
2024-10-10
Terms of use
- Copyright holder:
- Giubilini et al
- Copyright date:
- 2024
- Rights statement:
- © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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