Algorithmic Analysis of Social Behavior for Profiling, Ranking, and Assessment
Cambridge Handbook on the Law of Algorithms (Woodrow Barfield & Ugo Pagallo ed., Cambridge Press, (2020, Forthcoming).
27 Pages Posted: 25 Sep 2019 Last revised: 23 Oct 2019
Date Written: September 16, 2019
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.
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