Explaining Disclosure Decisions Over Personal Data

Abstract

The use of automated decision making systems to disclose personal data provokes privacy concerns as it is difficult for individuals to understand how and why these decisions are made. This research proposes an approach for empowering individuals to understand such automated access to personal data by utilising semantic web technologies to explain complex disclosure decisions in a comprehensible manner. We demonstrate the feasibility of our approach through a prototype that uses text and visual mediums to explain disclosure decisions made in the health domain and its evaluation through a user study.