Regulating automated decision making

Preference Logics for Automated Decision Making

Classical decision theory provides a normative theory for representing and reasoning with complex preferences. But straightforward application of this theory to construct automated decision making agents is difficult due to the high cost of eliciting utilities. People tend to express their preferences in qualitative terms and have troubles translating them into numeric utilities. This difficult...

User-Centric Principles in Automated Decision Making

Natural-language preference expressions, not yet exploited by existing preference reasoning approaches, match the way users express preferences in many scenarios and potentially improve automated decision making. Further, the preferences provided are often not sufficient to make a choice on behalf of users, as trade-offs are resolved with psychological processes employed in light of available o...

Automated Preference Elicitation for Decision Making

In the contemporary complex world decisions are made by an imperfect participant devoting limited deliberation resources to any decision-making task. A normative decision-making (DM) theory should provide support systems allowing such a participant to make rational decisions in spite of the limited resources. Efficiency of the support systems depends on the interfaces enabling a participant to ...

Regulating Medical Necessity Decision Making by Health Maintenance Organizations

Automated Theory Decision Making: A Case of Evolution vs. Creationism