Which variables does an agent have an incentive to control with its decision, and which variables does it have an incentive to respond to? We formalise these incentives, and demonstrate unique graphical criteria for detecting them in any single decision causal influence diagram. To this end, we introduce structural causal influence models, a hybrid of the influence diagram and structural causal model frameworks. Finally, we illustrate how these incentives predict agent incentives in both fairness and AI safety applications.
翻译:代理商有哪个变量来控制其决定,有哪个变量来控制其决定,有哪个变量来激励其回应?我们正式确定这些激励,并在任何单一决定因果影响图表中展示用于检测这些激励的独特图形标准。为此,我们引入结构性因果影响模型,将影响图和结构性因果模型框架混合在一起。最后,我们说明这些激励如何在公平和AI安全应用中预测代理商的激励。