AI and big data: disruptive regulation/ Mark Findlay, Josephine Seah, Willow Wong.
By: Findlay, Mark [author.].
Contributor(s): Seah, Josephine [author.] | Wong, Willow [author.].
Publisher: UK: Edward Elgar Publishing: 2023Description: v, 147p. illustrations.ISBN: 9781802209518.Subject(s): Artificial intelligence -- Law and legislation | Artificial intelligence -- Government policy | Artificial intelligence -- Social aspects | Big data -- Government policy | Big data -- Social aspects | Intelligence artificielle -- Politique gouvernementale | Intelligence artificielle -- Aspect social | Données volumineuses -- Politique gouvernementale | Données volumineuses -- Aspect social | Artificial intelligence | Intelligence artificielle | Internet law | Artificial intelligence -- Government policy | Artificial intelligence -- Law and legislation | Artificial intelligence -- Social aspects | Big data -- Social aspectsDDC classification: 006.3| Item type | Current location | Call number | Status | Date due | Barcode |
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Books
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NASSDOC Library | 006.3 MAR-A (Browse shelf) | 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." --
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