Description

Book Synopsis
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.



Trade Review
‘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

Table of 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

AI and Big Data: Disruptive Regulation

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£75.00

Includes FREE delivery

Order before 4pm today for delivery by Tue 23 Dec 2025.

A Hardback by Mark Findlay, Josephine Seah, Willow Wong

15 in stock


    View other formats and editions of AI and Big Data: Disruptive Regulation by Mark Findlay

    Publisher: Edward Elgar Publishing Ltd
    Publication Date: 26/09/2023
    ISBN13: 9781802209518, 978-1802209518
    ISBN10: 1802209514

    Description

    Book Synopsis
    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.



    Trade Review
    ‘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

    Table of 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

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