AI and big data : 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 f...

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Hlavní autoři: Findlay, Mark (Autor), Seah, Josephine (Autor), Wong, Willow (Autor)
Typ dokumentu: Kniha
Jazyk:Angličtina
Vydáno: Northampton : Edward Elgar Publishing, 2023
Edice:Elgar studies in law and regulation
Témata:
On-line přístup:Elektronická verze přístupná pouze pro studenty a pracovníky MU
Příbuzné jednotky:Tištěná verze:: AI and big data : disruptive regulation
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505 0 |a 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. 
520 9 |a "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"--  |9 eng 
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