This book presents a comprehensive collection of essays that explore the complex issues surrounding Artificial Intelligence (AI) governance. It is divided into five parts, each offering a unique perspective on AI sovereignty, transparency, and accountability. The book begins by introducing the concept of AI sovereignty and its enablers in Brazil, South Africa, and India. It then delves into the meanings of AI transparency and accountability, proposing new concepts for regulation and innovative analytical frameworks. Following this, the book presents multiple regional perspectives on AI…mehr
This book presents a comprehensive collection of essays that explore the complex issues surrounding Artificial Intelligence (AI) governance. It is divided into five parts, each offering a unique perspective on AI sovereignty, transparency, and accountability. The book begins by introducing the concept of AI sovereignty and its enablers in Brazil, South Africa, and India. It then delves into the meanings of AI transparency and accountability, proposing new concepts for regulation and innovative analytical frameworks. Following this, the book presents multiple regional perspectives on AI governance, starting with the Western viewpoint, which examines the European Union's approach, the role of corporate governance, and the implications of AI for military affairs. The subsequent chapters focus on Asian and African perspectives, analyzing China's AI law, India's Digi Yatra project, and the development of AI governance in Africa, highlighting the need for AI standards for the Majority World. The collection concludes with Latin American perspectives, featuring case studies and detailed regulatory landscapes from Brazil, Colombia, Chile, and Argentina. Throughout the book, readers will encounter a diverse range of topics, including the operationalization of AI accountability, the regulation of AI based on its supply chains, the promise of AI sovereignty, and the challenges of responsible innovation. With contributions from experts worldwide, "The Quest for AI Sovereignty, Transparency, and Accountability" offers a critical examination and pragmatic guidance on the complexities of AI governance, providing valuable insights for policymakers, entrepreneurs, and scholars alike.
Artikelnr. des Verlages: 89535223, 978-3-032-02761-0
Seitenzahl: 390
Erscheinungstermin: 1. November 2025
Englisch
Abmessung: 235mm x 155mm
ISBN-13: 9783032027610
ISBN-10: 3032027616
Artikelnr.: 74898726
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Springer-Verlag GmbH
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69121 Heidelberg
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Autorenporträt
Luca Belli holds a PhD in Public Law from Université Paris Panthéon-Assas. He is currently a member of the Brazilian Presidency National Cybersecurity Committee, a board member of the Global Digital Inclusion Partnership, and a member of the Steering Committee of the Forum for Information & Democracy. He is a Professor of Digital Governance and Regulation at Fundação Getulio Vargas (FGV) Law School in Rio de Janeiro, where he directs the Center for Technology and Society (CTS-FGV) and the CyberBRICS project. Additionally, he serves as the editor of the International Data Privacy Law (IDPL) Journal, published by Oxford University Press, and as Director of the Computers Privacy and Data Protection conference Latin-America (CPDP LatAm). Luca has authored over 50 publications on law and technology, covering topics such as Internet access, data governance, cybersecurity, AI regulation, and digital transformation, which have been cited by numerous media outlets, including The Economist, Financial Times, Forbes, Le Monde, BBC, The Hill, China Today, O Globo, Folha de São Paulo, El País, and La Stampa. He can be found on LinkedIn and Twitter as @1lucabelli. Walter Britto Gaspar is currently a Ph.D. candidate in the Public Policies, Strategies, and Development Programme at the Economics Institute of the Federal University of Rio de Janeiro (UFRJ). He graduated in Law from Fundação Getulio Vargas (FGV) in 2015 and completed his Master's in Public Health at the University of the State of Rio de Janeiro (UERJ) in 2017, where he studied the interface between innovation, intellectual property, and access to medicines policies in Brazil. He is also a Certified Graphic Designer by the Istituto Europeo di Design (2018). He was a grantee of the Fundación Botín Programme for the Public Interest in Latin America in 2013 and served as the National Coordinator of the NGO Universities Allied for Essential Medicines from 2013 to 2016. Currently, he is a researcher in the CyberBRICS project at FGV's Center for Technology and Society and participated as a researcher in the Fiocruz and Shuttleworth Foundation project on intellectual property and access to medicines in 2017.
Inhaltsangabe
Framing the AI Sovereignty Debate.- 1. AI Transparency, AI Accountability, and AI Sovereignty:An Overview.- 2. Exploring the Key AI Sovereignty Enablers (KASE) of Brazil, to Build an AI Sovereignty Stack.- 3. An Assessment of the Key AI Sovereignty Enablers within the South African Context.- 4. AI Sovereignty in India A Response to the KASE Framework.- What do AI Transparency and AI Accountability mean?.- 1.Broadening the Horizon:New Concepts for AI Regulation.- 2.A Conceptual Framework for AI Supply Chain Regulation.- 3. GenAI and the Goblet of Compliance:Delving into the Pensieve of Privacy Principles.- 4. Towards Trustworthy AI:Guidelines for Operationalisation and Responsible Adoption.- Western Perspectives on AI Governance.- 1. AI and EU: A Third Way?.- 2.The Blind Watcher: Accountability Mechanisms in the Artificial Intelligence Act.- 3.Promoting the Transparency of AI-Generated Inferences.- 4.Bridging Traditional Corporate Governance and Technology:The AI by Corporate Design Framework to Computational Corporate Governance Models.- 5.Clarifying Military Advantages and Risks of AI Applications via a Scenario.- Part 4:Asian and African Perspectives on AI Governance.- 1.Operationalizable Accountability of (Generative) AI:Towards the Chinese AI Law?.- 2.Seeking Policy, Technical and Operational Transparency in AI Systems:A Case Study of India s Digi Yatra Project.- 3.Principles for Enabling Responsible AI Innovations in India: An Ecosystem Approach.- 4.Developing AI Standards that Serve the Majority World.- 5.(Re)Examining the Concept of Regulation in AI Governance: Modest Efforts in Africa.- Part 5:Latin American Perspectives on AI Governance.- 1.AI Development Model for the Brazilian Justice Ecosystem:A Case Study on the Operational Artificial Intelligence Sandbox Experience at the Public Defender's Office of Rio de Janeiro (DPRJ).- 2.Regulatory Sandboxes as Tools for Ethical and Responsible Innovation of Artificial Intelligence and Their Synergies with Responsive Regulation.- 3.Building a Repository of Public Algorithms: Case Study of the Dataset on Automated Decision-Making Systems in the Colombian Public Sector.- 4.International Efforts Aimed at Promoting AI Transparency and/or Accountability.- 5.Regulatory Aspects of AI in Argentina.- 6.AI and Neurotechnologies:The Need for Protection in the Face of New Crossroads.- 7.Conclusion: Harnessing Multistakeholder Governance for Advancing AI Sovereignty, Transparency, and Accountability.
Framing the AI Sovereignty Debate.- 1. AI Transparency, AI Accountability, and AI Sovereignty:An Overview.- 2. Exploring the Key AI Sovereignty Enablers (KASE) of Brazil, to Build an AI Sovereignty Stack.- 3. An Assessment of the Key AI Sovereignty Enablers within the South African Context.- 4. AI Sovereignty in India A Response to the KASE Framework.- What do AI Transparency and AI Accountability mean?.- 1.Broadening the Horizon:New Concepts for AI Regulation.- 2.A Conceptual Framework for AI Supply Chain Regulation.- 3. GenAI and the Goblet of Compliance:Delving into the Pensieve of Privacy Principles.- 4. Towards Trustworthy AI:Guidelines for Operationalisation and Responsible Adoption.- Western Perspectives on AI Governance.- 1. AI and EU: A Third Way?.- 2.The Blind Watcher: Accountability Mechanisms in the Artificial Intelligence Act.- 3.Promoting the Transparency of AI-Generated Inferences.- 4.Bridging Traditional Corporate Governance and Technology:The AI by Corporate Design Framework to Computational Corporate Governance Models.- 5.Clarifying Military Advantages and Risks of AI Applications via a Scenario.- Part 4:Asian and African Perspectives on AI Governance.- 1.Operationalizable Accountability of (Generative) AI:Towards the Chinese AI Law?.- 2.Seeking Policy, Technical and Operational Transparency in AI Systems:A Case Study of India s Digi Yatra Project.- 3.Principles for Enabling Responsible AI Innovations in India: An Ecosystem Approach.- 4.Developing AI Standards that Serve the Majority World.- 5.(Re)Examining the Concept of Regulation in AI Governance: Modest Efforts in Africa.- Part 5:Latin American Perspectives on AI Governance.- 1.AI Development Model for the Brazilian Justice Ecosystem:A Case Study on the Operational Artificial Intelligence Sandbox Experience at the Public Defender's Office of Rio de Janeiro (DPRJ).- 2.Regulatory Sandboxes as Tools for Ethical and Responsible Innovation of Artificial Intelligence and Their Synergies with Responsive Regulation.- 3.Building a Repository of Public Algorithms: Case Study of the Dataset on Automated Decision-Making Systems in the Colombian Public Sector.- 4.International Efforts Aimed at Promoting AI Transparency and/or Accountability.- 5.Regulatory Aspects of AI in Argentina.- 6.AI and Neurotechnologies:The Need for Protection in the Face of New Crossroads.- 7.Conclusion: Harnessing Multistakeholder Governance for Advancing AI Sovereignty, Transparency, and Accountability.
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