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Elgar Companion to Regulating AI and Big Data in Emerging Economies

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Release : 2023-12-11
Genre : Social Science
Kind : eBook
Book Rating : 402/5 ( reviews)

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Book Synopsis Elgar Companion to Regulating AI and Big Data in Emerging Economies by : Mark Findlay

Download or read book Elgar Companion to Regulating AI and Big Data in Emerging Economies written by Mark Findlay. This book was released on 2023-12-11. Available in PDF, EPUB and Kindle. Book excerpt: Committed to highlighting the regulatory needs and priorities of emerging economies in the context of AI and big data, this expertly crafted Companion explores the nature and role of regulation in the Global South from a techno-dependent societal perspective. It not only amplifies the unspoken and underrepresented voices in AI and data regulation scholarly discourse, but also provides a novel approach to otherwise recipient economies in an age of digital transformation.

AI and Big Data

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Release : 2023-09-06
Genre : Computers
Kind : eBook
Book Rating : 522/5 ( reviews)

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Book Synopsis AI and Big Data by : Mark Findlay

Download or read book AI and Big Data written by Mark Findlay. This book was released on 2023-09-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Competition and Regulation in the Data Economy

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Release : 2020-10-30
Genre : Law
Kind : eBook
Book Rating : 658/5 ( reviews)

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Book Synopsis Competition and Regulation in the Data Economy by : Gintarè Surblytė-Namavičienė

Download or read book Competition and Regulation in the Data Economy written by Gintarè Surblytė-Namavičienė. This book was released on 2020-10-30. Available in PDF, EPUB and Kindle. Book excerpt: This incisive book provides a much-needed examination of the legal issues arising from the data economy, particularly in the light of the expanding role of algorithms and artificial intelligence in business and industry. In doing so, it discusses the pressing question of how to strike a balance in the law between the interests of a variety of stakeholders, such as AI industry, businesses and consumers.

The Elgar Companion to Digital Transformation, Artificial Intelligence and Innovation in the Economy, Society and Democracy

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Release : 2023-05-09
Genre : Business & Economics
Kind : eBook
Book Rating : 36X/5 ( reviews)

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Book Synopsis The Elgar Companion to Digital Transformation, Artificial Intelligence and Innovation in the Economy, Society and Democracy by : Elias G. Carayannis

Download or read book The Elgar Companion to Digital Transformation, Artificial Intelligence and Innovation in the Economy, Society and Democracy written by Elias G. Carayannis. This book was released on 2023-05-09. Available in PDF, EPUB and Kindle. Book excerpt: This book examines when, where, how, and why artificial intelligence and digital transformation can boost innovation and transform the economy, society and democracy. It is developed based on the Cyber-D4 nexus, which is a conceptual framework of Cyber-Defense, Cyber-Development, Cyber-Democracy, and Cyber-Diplomacy. This nexus ties new national and industrial cyber strategies, including business strategies for smart cities and the Internet of Things, with the local, national, regional, and global security and economic objectives.

Regulatory Insights on Artificial Intelligence

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Release : 2022-06-10
Genre : Computers
Kind : eBook
Book Rating : 782/5 ( reviews)

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Book Synopsis Regulatory Insights on Artificial Intelligence by : Findlay, Mark

Download or read book Regulatory Insights on Artificial Intelligence written by Findlay, Mark. This book was released on 2022-06-10. Available in PDF, EPUB and Kindle. Book excerpt: This provocative book investigates the relationship between law and artificial intelligence (AI) governance, and the need for new and innovative approaches to regulating AI and big data in ways that go beyond market concerns alone and look to sustainability and social good.

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