City Research Online

Abstract

Dealing with the challenges of an interconnected globalised world requires to handle plurality. This is no exception when considering value-aligned intelligent systems, since the values to align with should capture this plurality. So far, most literature on value-alignment has just considered a single value system. Thus, this paper advances the state of the art by proposing a method for the aggregation of value systems. By exploiting recent results in the social choice literature, we formalise our aggregation problem as an optimisation problem. We then cast such problem as an ℓp-regression problem. By doing so, we provide a general theoretical framework to model and solve the above-mentioned problem. Our aggregation method allows us to consider a range of ethical principles, from utilitarian (maximum utility) to egalitarian (maximum fairness). We illustrate the aggregation of value systems by considering real-world data from the European Values Study and we show how different consensus value systems can be obtained depending on the ethical principle of choice.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© the authors | ACM 2023. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, https://dl.acm.org/doi/10.5555/3535850.3535938
Publisher Keywords:	AI & Ethics; Value Systems; Optimisation
Subjects:	H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology
Departments:	School of Science & Technology > Computer Science

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