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The quest for AI sovereignty, transparency and accountability = official outcome of the un igf data and artificial intelligence governance coalition /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The quest for AI sovereignty, transparency and accountability/ edited by Luca Belli, Walter B. Gaspar.
其他題名:	official outcome of the un igf data and artificial intelligence governance coalition /
其他作者:	Belli, Luca.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xvii, 343 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Government policy. -
電子資源:	https://doi.org/10.1007/978-3-032-02762-7
ISBN:	9783032027627

The quest for AI sovereignty, transparency and accountability = official outcome of the un igf data and artificial intelligence governance coalition /
The quest for AI sovereignty, transparency and accountabilityofficial outcome of the un igf data and artificial intelligence governance coalition /[electronic resource] :edited by Luca Belli, Walter B. Gaspar. - Cham :Springer Nature Switzerland :2025. - xvii, 343 p. :ill., digital ;24 cm. - Data science, machine intelligence, and law,v. 82730-5902 ;. - Data science, machine intelligence, and law ;v. 8..

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.

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.

ISBN: 9783032027627

Standard No.: 10.1007/978-3-032-02762-7doiSubjects--Topical Terms:

3512722
Artificial intelligence
--Government policy.

LC Class. No.: K564.C6

Dewey Class. No.: 343.0999

The quest for AI sovereignty, transparency and accountability = official outcome of the un igf data and artificial intelligence governance coalition /
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