Automated Decision-Making Systems for Behavioral Regulation: Understanding Perceptions and Behavioral Reactions

Abstract

Automated decision-making systems for regulating human behaviors are increasingly deployed around the globe. This project investigates people's perceptions of and behavioral reactions to automated decision-making systems used for behavioral regulation; first, in experimentally replicated social scoring systems, and second, in survey-based studies on the Chinese Social Credit System (SCS). The objective of this project is to understand the overall legitimacy of these systems, the sources of harm stemming from these systems, and to identify future areas of research necessary to determine whether these systems can be ethically justified.