Moral Uncertainty and the Problem of Fanaticism
December 18, 2023 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
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Authors
Jazon Szabo, Jose Such, Natalia Criado, Sanjay Modgil
arXiv ID
2312.11589
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.GT,
econ.TH
Citations
1
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
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.
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