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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: 23 June 2021

Machine Decisions and Human Consequences

Machine Decisions and Human Consequences

(p.49) 3 Machine Decisions and Human Consequences
Algorithmic Regulation

Teresa Scantamburlo

Andrew Charlesworth

Nello Cristianini

Oxford University Press

This chapter discusses how machine learning works and, as a result, how decisions are made by modern intelligent algorithms or ‘classifiers’. It critically evaluates a real-world ‘classifier’, the Harm Assessment Risk Tool (HART)—an algorithmic decision-making tool employed by the Durham police force to inform custody decisions concerning individuals who have been arrested for suspected criminal offences. It evaluates the tool by reference to four normative benchmarks: prediction accuracy, fairness and equality before the law, transparency and accountability, and informational privacy and freedom of expression. It argues that systems which utilize decision-making (or decision-supporting) algorithms, and have the potential to detrimentally affect individual or collective human rights, deserve significantly greater regulatory scrutiny than those systems that use decision-making algorithms to process objects.

Keywords:   machine learning, algorithms, classifiers, Harm Assessment Risk Tool, HART, Durham police force, algorithmic decision-making

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