Amazon cover image
Image from Amazon.com

AI and big data: disruptive regulation/ Mark Findlay, Josephine Seah, Willow Wong.

By: Contributor(s): Publication details: UK: Edward Elgar Publishing: 2023.Description: v, 147p. illustrationsISBN:
  • 9781802209518
Subject(s): DDC classification:
  • 006.3 MAR-A
Contents:
Disruptive regulation -- Trust as regulation -- Disrupting data - digital self-determination -- Modern AI ethics is a field in the making -- Modelling disruptive regulation.
Summary: "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 colonized data access, the book reveals how trust, ethics, and digital self-determination can be reconsidered and engaged to promote the interests of marginalized 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." --
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books NASSDOC Library 006.3 MAR-A (Browse shelf(Opens below)) Available 54328

Includes bibliographical references and index.

Disruptive regulation -- Trust as regulation -- Disrupting data - digital self-determination -- Modern AI ethics is a field in the making -- Modelling disruptive regulation.

"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 colonized data access, the book reveals how trust, ethics, and digital self-determination can be reconsidered and engaged to promote the interests of marginalized 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." --

There are no comments on this title.

to post a comment.