Algorithmic regulation /

As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sec...

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Bibliographic Details
Other Authors: Yeung, Karen (Lawyer) (Editor), Lodge, Martin, 1972- (Editor)
Format: eBook
Language:English
Published: Oxford, United Kingdom ; New York, NY : Oxford University Press, 2019.
Edition:First edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectors from healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justicesystem. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far from clear that existing legal and other oversight mechanisms are up to the task. This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of 'algorithmic regulation', understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through which the power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range of contributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence.
Physical Description:1 online resource (xxii, 271 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9780192575449
0192575449
0191874728
9780191874727
9780192575432
0192575430