
The Governance of Artificial Intelligence
$490.58
- Paperback
432 pages
- Release Date
30 January 2026
Summary
Artificial intelligence (AI) is rapidly transforming our world. From autonomous vehicles to sophisticated medical diagnostics, AI-powered systems offer immense potential benefits but also pose significant risks. This book delves into the critical questions surrounding AI governance:
- What are the ethical considerations of AI development and deployment?
- How can we ensure AI systems are fair, transparent, and accountable?
- …
Book Details
| ISBN-13: | 9780443363221 |
|---|---|
| ISBN-10: | 0443363226 |
| Author: | Tshilidzi Marwala |
| Publisher: | Elsevier Science & Technology |
| Imprint: | Morgan Kaufmann Publishers In |
| Format: | Paperback |
| Number of Pages: | 432 |
| Release Date: | 30 January 2026 |
| Weight: | 450g |
| Dimensions: | 276mm x 216mm |
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About The Author
Tshilidzi Marwala
Dr. Tshilidzi Marwala is the United Nations (UN) University Rector and UN Under-Secretary-General based in Tokyo, Japan. He previously served as the Vice-Chancellor and Principal of the University of Johannesburg and was a trustee of the Nelson Mandela Foundation.
He is a member of esteemed organizations including the American Academy of Arts and Sciences, The World Academy of Sciences (TWAS), and the African Academy of Sciences. Dr. Marwala has a distinguished record of mentorship, having supervised 37 doctoral students from over 20 countries across Africa, Asia, Europe, the Middle East, and the Americas.
Dr. Marwala earned his Bachelor of Science in Mechanical Engineering (magna cum laude) from Case Western Reserve University, USA, and holds a Ph.D. in Artificial Intelligence from the University of Cambridge, UK.
His prolific academic output includes 27 books on Artificial Intelligence, one of which has been translated into Chinese. He has also published over 500 articles in journals, proceedings, book chapters, and newspapers, and holds five international patents. He is the author of Hamiltonian Monte Carlo Methods in Machine Learning and Rational Machines and Artificial Intelligence, published by Elsevier/Academic Press.
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