Algorithmic Regulation
Karen Yeung and Martin Lodge
Abstract
Algorithms have become a central theme in contemporary policy and public discussion. The varied and potentially profound social implications of our increasing reliance on algorithms in daily life has attracted considerable interest in recent years, especially with the rising awareness of ‘big data’ and predictive analytics. One of the most vivid examples is the widespread concern about the use of algorithms to manipulate information and affect political life, at least since the US elections and the Brexit referendum. This book offers a critical exploration of algorithmic regulation, understood ... More
Algorithms have become a central theme in contemporary policy and public discussion. The varied and potentially profound social implications of our increasing reliance on algorithms in daily life has attracted considerable interest in recent years, especially with the rising awareness of ‘big data’ and predictive analytics. One of the most vivid examples is the widespread concern about the use of algorithms to manipulate information and affect political life, at least since the US elections and the Brexit referendum. This book offers a critical exploration of algorithmic regulation, understood both as a means of coordinating 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.
Keywords:
algorithms,
big data,
predictive analytics,
US elections,
Brexit,
social action,
decision-making,
algorithmic systems
Bibliographic Information
| Print publication date: 2019 |
Print ISBN-13: 9780198838494 |
| Published to Oxford Scholarship Online: October 2019 |
DOI:10.1093/oso/9780198838494.001.0001 |
Authors
Affiliations are at time of print publication.
Karen Yeung, editor
Interdisciplinary Professorial Fellow in Law, Ethics and Informatics, Birmingham Law School
Martin Lodge, editor
Professor of Political Science and Public Policy, LSE
More
Less
