Journal article
AI preference prediction and policy making
- Abstract:
- Democratic decision-making is difficult. Representatives often fail to represent the preferences of their constituents, and directly consulting members of the public can be costly. Inspired by these difficulties, several scholars have discussed the use of artificial intelligence (AI) models to support democratic decision-making. One such particular application is the use of AI to represent public policy preferences by predicting them. In this paper, we perform an analysis on the different ways AI models can be used to represent public policy preferences. We make distinctions between using AI as epistemic tools and for procedure; group and individual predictions; and predictions about preferences and inferences about values. We also describe how AI models can help policymakers screen policies for potential worries and objections, double-check any beliefs they have about the acceptability of their policies, and justify policy proposals. We also consider a number of worries about the use of AI in policymaking. We argue that these worries, while legitimate, can be mitigated or avoided in the way we have proposed the use of AI.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 708.1KB, Terms of use)
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- Publisher copy:
- 10.1007/s00146-025-02474-9
Authors
+ National Research Foundation of Korea
More from this funder
- Funder identifier:
- https://ror.org/013aysd81
- Grant:
- AISG3-GV-2023-012
- Publisher:
- Springer Nature
- Journal:
- AI and Society More from this journal
- Volume:
- 41
- Issue:
- 1
- Pages:
- 135–149
- Publication date:
- 2025-07-23
- Acceptance date:
- 2025-06-26
- DOI:
- EISSN:
-
1435-5655
- ISSN:
-
0951-5666
- Language:
-
English
- Keywords:
- Pubs id:
-
2263686
- Local pid:
-
pubs:2263686
- Deposit date:
-
2025-08-20
- ARK identifier:
Terms of use
- Copyright holder:
- Lim and Savulescu
- Copyright date:
- 2025
- Rights statement:
- © The Author(s), 2025. 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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