AI from the Global Majority
Official Outcome Report of the UN IGF Data and Artificial Intelligence Governance Coalition
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A termék adatai:
- Kiadó Springer Nature Switzerland
- Megjelenés dátuma 2026. január 14.
- ISBN 9783032078292
- Kötéstípus Keménykötés
- Terjedelem268 oldal
- Méret 235x155 mm
- Nyelv angol
- Illusztrációk XVI, 268 p. 13 illus. in color. 700
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This book provides crucial and largely underexplored Global South-centered perspective on AI governance, ethics, and regulation, challenging dominant narratives shaped by a limited number of developed countries from the Global North. AI from the Global Majority highlights the voices, experiences, and challenges of regions often marginalized in global AI discussions—Africa, Asia, Latin America, and the Middle East—bringing forward solutions tailored to their unique social, economic, and political contexts. Through a diverse collection of essays from leading experts, policymakers, and researchers, this volume examines AI’s impact on human rights, democracy, labor, cybersecurity, and digital sovereignty. It explores pressing issues such as algorithmic bias, data governance, disinformation, AI’s role in reinforcing or disrupting global power asymmetries, and the urgent need for inclusive and ethical AI policies. With real-world case studies from 16 countries, this book offers insights into how different nations and regions are shaping AI regulation, resisting digital colonialism, and advocating for fairer, more responsible technological development. The book contributors focus particularly on how AI systems can perpetuate social inequalities if not designed with diverse perspectives in mind. By analyzing labor exploitation in AI supply chains, discriminatory AI-driven decision-making, and the environmental costs of AI infrastructure, this book raises essential questions about the future of AI governance. It also proposes forward-thinking frameworks that prioritize transparency, accountability, and the participation of historically excluded communities. This book is essential reading for academics, policymakers, legal experts, and technology professionals interested in AI ethics, global technology governance, and digital rights. It is also a valuable resource for activists, journalists, and students looking to understand how AI can be developed and deployed in ways that are equitable and socially just.
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Part 1: Local Approaches to Global Problems.- 1. AI from the Global Majority: What Are We Debating and Why?.- 2. AI Meets Cybersecurity: A Brazilian Perspective on Information Security and AI Challenges.- 3. The Law on Artificial Intelligence (AI) in South Africa in the Evolving African Legal Landscape.- 4. Building Smart Courts Through Large Legal Language Models? Experience from China.- 5. Fox Guarding the Chickens — Bias in Risk Management Obligations for High-Risk AI Systems under the EU AI Act.- Part 2: The Emergence of Regional Solutions.- 6. The Incipient Latin American Approach to AI Governance: Highlighting Data Governance Issues through Emerging Supervisory Authorities.- 7. The RICE Governance Framework: Enabling Comprehensive Data Governance in Africa.- 8. AIED and Student Data Privacy in Africa: Challenges and Recommendations for Legislators.- 9. Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law: A Commentary.- 10. Human Capacity (Ability)-Centred AI Policy: Eurasian and Transatlantic Safety Dialogue.- Part 3. Global Majority Facing AI.- 11. Reparative Algorithmic Impact Assessments: A Decolonial, Justice-Oriented Accountability Framework for AI and the Global Majority.- 12. AI Ethics for the Global Majority: Lessons from Decolonial Feminist Bioethics.- 13. Exploitation All the Way Down: Calling Out the Root Cause of Bad Online Experiences for Users of the “Majority World”.- 14. Countering False Information: Policy Responses for the Global Majority in the Age of AI.- 15. Addressing the Challenges of AI Content Detection in the Global South.- 16. Bridging the Gap Between the North and South in the Governance of Dual-Use Artificial Intelligence Technologies.- Part 4: Social Challenges of AI.- 17. From AI Bias to AI By Us: A Case Study from MIT Critical Data.- 18. The Prosumer in AI Governance: Class Antagonisms and the Social Relations of Labor.- 19. Cost or Benefit? The Impact of AI on the Work of Medical Practitioners.- Chapter 20. Reimagining Education: Potential Solutions for Nomads.- Chapter 21. The Need for Transnational Perspectives on the Social, Legal and Environmental Impact of Artificial Intelligence.- Part 5. Foresighted Solutions for Present Problems.- Chapter 22. Rewriting the Rules of the Game: Epistemological and Ontological Challenges at the Intersection of Legal Science and Data Science.- 23. People-Centered Justice AI: Data Dimensions for Embracing a Responsible Digital Transformation.- 24. Fostering AI Research and Development: Towards a Trustworthy LLM. Mitigating Compliance Risks Illustrated via Scenarios.- Chapter 25. Addressing Gender Data Gaps in the Global Majority: Opportunities and Challenges of Synthetic Data.
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Classical Sociological Theory
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