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Finding our common moral values: Guidelines for value system aggregation

Abia, V., Serramia, M. & Alonso, E. ORCID: 0000-0002-3306-695X (2025). Finding our common moral values: Guidelines for value system aggregation. Paper presented at the The 6th International Workshop on Democracy & AI, IJCAI25, 16-22 Aug 2025, Montreal, Canada.

Abstract

The research community has already produced a breadth of approaches to resolve several value alignment problems. However, in the pursuit of value alignment, we usually need to know which values we want our AI to align with. This problem, called value inference, has caught some attention lately with many approaches to detect which moral values are relevant in a context, or to build a model (called value system) representing the values and priorities of an individual. However, another important task in value inference is that of value system aggregation. This consists in aggregating the moral value models of several individuals to obtain one representing everybody. So far, only one value system aggregation method has been proposed. In this paper, we discuss why research in value system aggregation is paramount and the possible avenues to implement value system aggregation depending on the value alignment problem at hand.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2025 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). This work is licenced under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence.
Publisher Keywords: Ethics, Value alignment, Aggregation, Participatory Budgets
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology
School of Science & Technology > Computer Science
SWORD Depositor:
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