Moral Uncertainty and the Problem of Fanaticism
Authors: Jazon Szabo, Natalia Criado, Jose Such, Sanjay Modgil
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | 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... We prove that MEC is in fact maximally fanatical... We prove that neither novel weighted swfs are Pascalian and that Highest Median is not fanatical at all. |
| Researcher Affiliation | Academia | 1King s College London, UK 2VRAIN, Universitat Politecnica de Valencia, Spain |
| Pseudocode | No | The paper defines functions and computations like 'wam(F, a) = P t T c(t)t(a)' and 'se(F, a) = sort( t(a)|t T )', but it does not include structured pseudocode or algorithm blocks with formal labeling such as 'Algorithm 1' or 'Pseudocode'. |
| Open Source Code | No | The paper does not contain any statement about releasing source code, nor does it provide a link to a code repository. |
| Open Datasets | No | The paper provides a running example with illustrative numerical valuations (Table 1: 'Evaluations FROBO s ethical theories'), but this is for conceptual demonstration, not an empirical dataset. There is no mention of any publicly available or open dataset used for training or evaluation. |
| Dataset Splits | No | The paper presents theoretical formalizations and proofs. It does not describe any experimental procedures involving dataset splits for training, validation, or testing. |
| Hardware Specification | No | As a theoretical paper focusing on formal definitions and mathematical proofs, no specific hardware (like GPU models, CPU models, or cloud resources) is mentioned as being used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not describe any implementation details that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper focuses on theoretical formalizations and proofs, and therefore does not include details on experimental setup such as hyperparameter values, training configurations, or system-level settings. |