AI and Big Data

Hardback

AI and Big Data

Disruptive Regulation

9781802209518 Edward Elgar Publishing
Mark Findlay, Honorary Senior Fellow, British Institute of International and Comparative Law, UK and previously Director, Centre for AI and Data Governance, Singapore Management University, Singapore, Josephine Seah, PhD Candidate, University of Cambridge, UK and Affiliate, Centre for AI and Data Governance and Willow Wong, Research Associate, Centre for AI and Data Governance, Singapore Management University
Publication Date: 2023 ISBN: 978 1 80220 951 8 Extent: 154 pp
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.

Copyright & permissions

Recommend to librarian

Your Details

Privacy Policy

Librarian Details

Download leaflet

Print page

More Information
Critical Acclaim
Contents
More Information
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.
Critical Acclaim
‘Based on wisely selected case studies, the authors offer a compelling reframing of the orthodox tech-and-regulation relationship. They build a strong case that AI is more than a regulatory target: “Distruptive Regulation” uses technology to protect and advance the interests of vulnerable stakeholders instead of serving those in power.’
– Urs Gasser, Technical University of Munich, Germany

‘If you''re looking for a thought-provoking read on governing AI and big data, then I highly recommend checking out this book. Using real-life examples, the authors offer a new approach to regulation that empowers people and promotes trust and data responsibility. The authors also provide practical pathways to advance digital self-determination and to promote fairness, and non-discrimination in how we use AI. Overall, the book challenges conventional thinking and is a must-read for anyone interested in technology and its impact on our society.’
– Stefaan G. Verhulst, New York University, US
Contents
Contents: 1. Disruptive regulation 2. Trust as regulation 3. Disrupting data – digital self-determination 4. Modern AI ethics is a field in the making 5. Modelling disruptive regulation Index
eBook for individuals
978 1 80220 952 5
From $40.00
Click here for options
eBook for library purchase
978 1 80220 952 5
View sample chapter and check access on:
eBook options

Available for individuals to buy from these websites

Or recommend to your institution to acquire on Elgaronline
  • Buy as part of an eBook subject collection - flexible options available
  • Downloading and printing allowed
  • No limits on concurrent user access, ideal for course use
My Cart