Algorithmic Regulation
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Product details:
- Publisher OUP Oxford
- Date of Publication 12 September 2019
- ISBN 9780198838494
- Binding Hardback
- No. of pages294 pages
- Size 240x161x23 mm
- Weight 626 g
- Language English 100
Categories
Short description:
This book provides a range of critical essays examining the use of algorithms to regulate various aspects of contemporary life, and the need to regulate these algorithmic systems, drawing from a broad range of disciplinary expertise.
MoreLong description:
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 justice system. 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. Taken together, they highlight the rise of algorithmic power, the potential benefits and risks associated with this power, the way in which Sheila Jasanoff's long-standing claim that 'technology is politics' has been thrown into sharp relief by the speed and scale at which algorithmic systems are proliferating, and the urgent need for wider public debate and engagement of their underlying values and value trade-offs, the way in which they affect individual and collective decision-making and action, and effective and legitimate mechanisms by and through which algorithmic power is held to account.
Apart from the breadth and high substantive quality of its individual chapters, Algorithmic Regulation is a fascinating volume in that it crosses a wide spectrum of positions on these questions, both implicitly and explicitly. This makes it an invaluable marker of the current state of thinking in this fundamental and rapidly developing field, the next chapter of which is likely to be dominated by the European Commission's proposed AI regulation.
Table of Contents:
Algorithmic Regulation: An Introduction
Part I: Normative concerns
Why worry about decision-making by machine?
Machine decisions and human consequences
Digital discrimination
The ethics of algorithmic outsourcing in everyday life
Part II: Public sector applications
Administration by Algorithm? Public Management meets Public Sector Machine Learning
The Practical Challenges of Implementing Algorithmic Regulation for Public Services
Reflecting on Public Service Regulation by Algorithm
Part III: Governing algorithmic systems
Algorithms, regulation and governance readiness
Legal practitioners' approach to regulating AI risks
Minding the machine v2.0: The EU General Data Protection Regulation and Automated Decision Making
