AI and big data: Disruptive regulation

Publication Type

Book

Publication Date

9-2023

Abstract

This provocative and timely book identifies and disrupts the conventional regulation and governance discourses concerning AI and big data. It suggests that, instead of being used as tools for exclusionist commercial markets, AI and big data can be employed in governing digital transformation for social good. Analysing the ways in which global technology companies have colonised data access, the book reveals how trust, ethics, and digital self-determination can be reconsidered and engaged to promote the interests of marginalised stakeholders in data arrangement. Chapters examine the regulation of labour engagement in digital economies, the landscape of AI ethics, and a multitude of questions regarding participation, costs, and sustainability. Presenting several informative case studies, the book challenges some of the accepted qualifiers of frontier tech and data use and proposes innovative ways of actioning the more conventional regulatory components of big data. Scholars and students in information and media law, regulation and governance, and law and politics will find this book to be critical reading. It will also be of interest to policymakers and the AI and data science community.

Keywords

Regulation, Disruption, AI/big data, Frontier technology, Digital transformation, Data subjects

Discipline

Artificial Intelligence and Robotics | Science and Technology Law

Research Areas

Innovation, Technology and the Law

First Page

1

Last Page

154

ISBN

9781802209518

Identifier

10.4337/9781802209525

Publisher

Edward Elgar Publishing

City or Country

Cheltenham

Additional URL

https://doi.org/10.4337/9781802209525

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