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.



Covering central themes such as regulatory flows, self-regulation and AI ethics, contextual regulation, and regulatory devices, the Companion brings together an array of eminent academics from across the globe. Chapters critically reflect on the nature and role of regulation, charting the tapestry of regulatory influence and capacity, values, and relationships of dependence and vulnerability attendant on advancing AI and mass data sharing. The regulatory challenges facing emerging economies and post-colonial societies are examined, and contributors engage new frames of thinking and solutions from perspectives beyond the interests of techno-colonialism.



International and interdisciplinary in scope, this Companion will be an interesting read for academics and students in development studies, law and development, innovation and technology studies, and regulation and governance.

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Contents : Introduction to the Elgar Companion to Regulating AI and Big Data in Emergent Economies 1 Mark Findlay, Li Min Ong and Wenxi Zhang PART I EDITORS’ REFLECTIONS: REGULATORY FLOWS 1 The ongoing AI-regulation debate in the EU and its influence on the emergent economies – a new case for the ‘Brussels Effect’? 22 Shu Li, Béatrice Schütte and Suvi Sankari 2 Challenges and opportunities of ethical AI and digital technology use in emerging economies 42 Meera Sarma, Chaminda Senaratne and Thomas Matheus 3 Private-public data governance in Indonesia’s smart cities: promises and pitfalls 59 Berenika Drazewska PART II EDITORS’ REFLECTIONS: SELF-REGULATION AND AI ETHICS 4 The challenges of industry self-regulation of AI in emerging economies: implications of the case of Russia for public policy and institutional development 81 Gleb Papyshev and Masaru Yarime 5 The place of the African relational and moral theory of Ubuntu in the global artificial intelligence and big data discussion: critical reflections 99 Beatrice Okyere-Manu 6 The values of an AI ethical framework for a developing nation: considerations for Malaysia 115 Jaspal Kaur Sadhu Singh PART III EDITORS’ REFLECTIONS: CONTEXTUAL REGULATION 7 The relevance of culture in regulating AI and big data: the experience of the Macao SAR 138 Sara Migliorini and Rostam J. Neuwirth 8 Digital self-determination: an alternative paradigm for emerging economies 158 Wenxi Zhang, Li Min Ong and Mark Findlay PART IV EDITORS’ REFLECTIONS: REGULATORY DEVICES 9 Regulating AI in democratic erosion: context, imaginaries and voices in the Brazilian debate 183 Clara Iglesias Keller and João Carlos Magalhães 10 The importance and challenges of developing a regulatory agenda for AI in Latin America 201 Armando Guio Español, María Antonia Carvajal, Elena Tamayo Uribe and María Isabel Mejía 11 Artificial intelligence: dependency, coloniality and technological subordination in Brazil 228 Joyce Souza and Rodolfo Avelino Conclusion: reflecting on the ‘new’ North/South 245 Mark Findlay, Li Min Ong and Wenxi Zhang Index 259
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Produktdetaljer

ISBN
9781785362392
Publisert
2023-12-15
Utgiver
Vendor
Edward Elgar Publishing Ltd
Høyde
234 mm
Bredde
156 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
284

Om bidragsyterne

Edited by Mark Findlay, Distinguished Fellow, British Institute of International and Comparative Law, and Honorary Professorial Fellow, Law School, University of Edinburgh, UK, Li Min Ong, Research Associate and Wenxi Zhang, Research Associate, Centre for AI and Data Governance, Yong Pung How School of Law, Singapore Management University, Singapore