Algorithmic Analysis of Social Behavior for Profiling, Ranking, and Assessment

Abstract

In this chapter we look at the global development of “people-scoring” and its implications. Unlike traditional credit scoring, which is used to evaluate individuals’ financial trustworthiness, social scoring seeks to comprehensively rank individuals based on social, reputational, and behavioral attributes. The implications of widespread social scoring are far-reaching and troubling. Bias and error, discrimination, manipulation, privacy violations, excessive market power, and social segregation are only some of the concerns we have discussed and elaborated on in previous works. In this chapter, we describe the global shift from financial scores to social credit, and show how, notwithstanding constitutional, statutory, and regulatory safeguards, the U.S. and other western democracies are not as far from social credit as we seem to believe.