Learning answer set programming rules for ethical machines

Codes of ethics are abstract rules. These rules are often quite difficult to apply. Abstract principles such as these contain open textured terms that cover a wide range of specific situations. These codes are subject to interpretations and might have different meanings in different contexts. There is an implementation problem from the computational point of view with most of these codes, they lack clear procedures for implementation. In this work we present a new approach based on Answer Set Programming and Inductive logic Programming for monitoring the employees behavior w.r.t. ethical violations of their company’s codes of ethics. After briefly reviewing the domain, we introduce our proposed approach, followed by a discussion, then we conclude highlighting possible future directions and potential developments.