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Algorithmic Regulation$
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Karen Yeung and Martin Lodge

Print publication date: 2019

Print ISBN-13: 9780198838494

Published to Oxford Scholarship Online: October 2019

DOI: 10.1093/oso/9780198838494.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 26 September 2021

Digital Discrimination

Digital Discrimination

Chapter:
(p.82) 4 Digital Discrimination
Source:
Algorithmic Regulation
Author(s):

Natalia Criado

Jose M Such

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198838494.003.0004

This chapter focuses on a particular normative concern associated with machine decision-making that has attracted considerable attention in policy debate—the problem of bias in algorithmic systems, which gives rise to various forms of ‘digital discrimination’. Digital discrimination entails treating individuals unfairly, unethically, or just differently based on their personal data that is automatically processed by an algorithm. Digital discrimination often reproduces the existing instances of discrimination in the offline world by either inheriting the biases of prior decision-makers, or simply reflecting widespread prejudices in society. The chapter highlights various forms and sources of digital discrimination, pointing to a rich and growing body of technical research seeking to develop technical responses aimed at correcting for, or otherwise removing, these sources of bias.

Keywords:   artificial intelligence, machine decision-making, bias, algorithmic systems, digital discrimination

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