The Governance of Artificial Intelligence

Nyhet

Häftad, Engelska, 2026

2 219 kr

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The Governance of Artificial Intelligence stands out as a comprehensive guide that unifies the essential dimensions of artificial intelligence-values, data, algorithms, computing, applications, and governance-within a single volume. The book offers expert guidance on each of these topics, blending engineering insight with governance strategies. It proposes a holistic approach to AI governance, emphasizing the importance of proactive and balanced policies that foster innovation while safeguarding ethical standards. Prioritizing social welfare and human rights, this work advocates for maximizing AI’s benefits and minimizing its risks through effective, integrative governance structures.

Moreover, the book highlights the need for a versatile governance model that draws from various disciplines and champions diversity. It stresses the importance of leveraging existing regulatory frameworks, ethical guidelines, and industry standards, while encouraging active collaboration among governments, businesses, civil society, and academia. Structured into six sections and 33 chapters, the book systematically explores core principles, data concerns, algorithms, computing, practical applications, and governance challenges, making it a crucial resource for understanding the evolving landscape of AI oversight.

Presents the critical issue of values in AI use, which is important given the proliferation of generative AI
Demonstrates how to handle data and apply AI, including case studies for better understanding of the topics covered
Deals with the complex problem of governing data, algorithms, computing, and applications to health, finance, and conflicts
Includes a companion website with a series of videos from the author, providing supplementary information and guidance for understanding key concepts

Produktinformation

Utgivningsdatum2026-04-01
Mått216 x 276 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor250
FörlagElsevier Science
ISBN9780443363221

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Dr. Tshilidzi Marwala is the United Nations (UN) University Rector and UN Under-Secretary-General based in Tokyo, Japan. He was the Vice-Chancellor and Principal of the University of Johannesburg and a trustee of the Nelson Mandela Foundation. He is a member of the American Academy of Arts and Sciences, The World Academy of Sciences (TWAS) and the African Academy of Sciences. He has supervised 37 doctoral students from more than 20 countries in Africa, Asia, Europe, the Middle East, and the Americas. Dr. Marwala holds a Bachelor of Science in Mechanical Engineering (magna cum laude) from Case Western Reserve University, USA, and a Ph.D. in Artificial Intelligence from the University of Cambridge, UK. He has published 27 books on Artificial Intelligence, one translated into Chinese, over 500 articles in journals, proceedings, book chapters and newspapers, and he holds five international patents. He is the author of Hamiltonian Monte Carlo Methods in Machine Learning and Rational Machines and Artificial Intelligence from Elsevier/Academic Press.

1. IntroductionSECTION A. AI Values2. Risk Identification and Mitigation: Performance Risk Quantification3. Transparency: Accuracy vs Transparency4. Fairness: Avoidable and Unavoidable Algorithmic Bias and Discrimination5. Truth: Algorithmic Deception6. Inclusion7. Balancing risks and opportunities: Pareto OptimalitySECTION B. Data Governance CHAPTER 8. Data Acquisition9. Cross-Border Data Flow10. Synthetic Data11. Data Analysis12. Data StorageSECTION C. Algorithmic Governance13. Algorithmic Selection14. Algorithmic Design15. Algorithmic Training16. Algorithmic TestingSECTION D. Computing Governance17. Semiconductor Chips18. Edge AI19. Cloud Computing20. Ambient Computing21. Quantum Computing22. Computing Energy23. Computing WaterSECTION E. Applications24. Finance25. Health26. ConflictsSECTION F. AI Governance27. Human Behavior28. Mechanisms29. Policy and Regulations30. AI Standards31. AI Laws32. Conclusion