Moral Uncertainty and the Problem of Fanaticism

Authors

  • Jazon Szabo King's College London
  • Natalia Criado VRAIN, Universitat Politecnica de Valencia
  • Jose Such King's College London VRAIN, Universitat Politecnica de Valencia
  • Sanjay Modgil King's College London

DOI:

https://doi.org/10.1609/aaai.v38i18.29971

Keywords:

PEAI: Morality & Value-based AI, GTEP: Social Choice / Voting

Abstract

While there is universal agreement that agents ought to act ethically, there is no agreement as to what constitutes ethical behaviour. To address this problem, recent philosophical approaches to `moral uncertainty' propose aggregation of multiple ethical theories to guide agent behaviour. However, one of the foundational proposals for aggregation - Maximising Expected Choiceworthiness (MEC) - has been criticised as being vulnerable to fanaticism; the problem of an ethical theory dominating agent behaviour despite low credence (confidence) in said theory. Fanaticism thus undermines the `democratic' motivation for accommodating multiple ethical perspectives. The problem of fanaticism has not yet been mathematically defined. Representing moral uncertainty as an instance of social welfare aggregation, this paper contributes to the field of moral uncertainty by 1) formalising the problem of fanaticism as a property of social welfare functionals and 2) providing non-fanatical alternatives to MEC, i.e. Highest k-trimmed Mean and Highest Median.

Published

2024-03-24

How to Cite

Szabo, J., Criado, N., Such, J., & Modgil, S. (2024). Moral Uncertainty and the Problem of Fanaticism. Proceedings of the AAAI Conference on Artificial Intelligence, 38(18), 19948-19955. https://doi.org/10.1609/aaai.v38i18.29971

Issue

Section

AAAI Technical Track on Philosophy and Ethics of AI