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.1 In this chapter, we describe the global shift from financial scores to social credit, and show how, notwithstanding constitutional, statutory, and regulatory safeguards, the United States and other Western democracies are not as far from social credit as we seem to believe.
Original language | English |
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Title of host publication | The Cambridge Handbook of the Law of Algorithms |
Editors | Woodrow Barfield |
Place of Publication | Cambridge |
Publisher | Cambridge University Press |
Pages | 632-653 |
Number of pages | 22 |
ISBN (Electronic) | 9781108680844 |
ISBN (Print) | 9781108481960 |
DOIs | |
State | Published - 1 Jan 2020 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Cambridge University Press 2021.
Keywords
- Algorithm
- Profiling
- Ranking
- Social Behavior
ASJC Scopus subject areas
- General Social Sciences
- General Engineering
- General Computer Science