论文标题
自动化系统中道德决策的汇总规则类别
Classes of Aggregation Rules for Ethical Decision Making in Automated Systems
论文作者
论文摘要
我们研究可以应用于道德AI决策的一类{\ em聚合规则}。这些规则会根据自动化系统根据可能选择的偏好概况的信息进行决定。我们考虑了替代品比另一个偏好的两个不同但非常直观的概念，即{\ it成对的多数}和{\ it位置}优势。偏好由置换过程而不是替代方案表示，并应用聚集规则以获得社会上被认为是伦理上正确的结果。在这种情况下，我们发现许多汇总规则满足了自主系统所需的属性。我们还解决了聚合过程的稳定性问题，当信息是可变时，这很重要。这些结果是为了证明自主系统做出的决定合理的AI设计师的贡献。置换过程；决策分析。
We study a class of {\em aggregation rules} that could be applied to ethical AI decision-making. These rules yield the decisions to be made by automated systems based on the information of profiles of preferences over possible choices. We consider two different but very intuitive notions of preferences of an alternative over another one, namely {\it pairwise majority} and {\it position} dominance. Preferences are represented by permutation processes over alternatives and aggregation rules are applied to obtain results that are socially considered to be ethically correct. In this setting, we find many aggregation rules that satisfy desirable properties for an autonomous system. We also address the problem of the stability of the aggregation process, which is important when the information is variable. These results are a contribution for an AI designer that wants to justify the decisions made by an autonomous system.\\ \textit{Keywords:} Aggregation Operators; Permutation Process; Decision Analysis.
