Deploying Artificial Intelligence to Achieve the UN Sustainable Development Goals
Springer International Publishing (Verlag)
978-3-031-88422-1 (ISBN)
This book provides research insights into how Artificial Intelligence (AI) can be used to achieve the UN s Sustainable Development Goals (SDGs) 17 interconnected goals designed to address the world s most pressing challenges by 2030. It reviews the SDGs and discusses why progress has been mixed and uneven across different countries, regions and goals. The book posits that attaining the SDGs will depend on enhanced global cooperation, increased funding, improved infrastructure, public-private partnerships, regional/continental integration, addressing the climate crisis, inclusive economic transformation, and visionary leadership. More specifically, the publication advocates leveraging innovative and transformative technologies, particularly the deployment of AI. The research acknowledges the risks of digital imperialism, data colonialism and technological exclusion, especially in emerging and least industrialised economies. Hence, in deploying AI to achieve the SDGs, the book puts a premium on decoloniality in AI systems and democratising AI technology.
- Provides a critique of the current SDGs approach by reframing the goals as a comprehensive risk assessment of humanity s most pressing threats in the 21st century;
- Features broad and holistic interventions to accelerate the attainment of the SDGs;
- Provides a comprehensive but accessible introduction to AI concepts and advanced innovations such as AlphaFold, ChatGPT-4, DeepSeek-R1, Grok 3, and autonomous vehicles (drones and driverless cars);
- Discusses the AI strategies of leading economies and assesses the impact of AI on geopolitics;
- Provides a comprehensive critique of global AI efforts by the UN and African Union, while proffering alternative paradigms and frameworks;
- Presents the enablers, drivers and strategic framework of AI deployment to achieve the SDGs;
- Develops and presents details of six distinct but related components of a novel Strategic Framework for developing and adopting AI Vision, Strategy, Policy, Governance, Legislation/Regulations, and Implementation Matrix;
- Outlines specific ways that AI can be deployed to achieve each of the 17 SDGs and reviews seven countries experiences;
- Explores an innovative, forward-looking, and technology-driven framework for equitable global socio-economic transformation to succeed the SDGs post-2030.
Prof. Dr. Eng. Arthur G.O. Mutambara is Director and Full Professor at the University of Johannesburg s (UJ) Institute for the Future of Knowledge (IFK) in South Africa, where he also serves as Head of the Decentralised Artificial Intelligence and Control Systems (DAICS) Research Group. He is a world-renowned control systems specialist, roboticist, academic, author and technology strategist. Professor Mutambara is a key African thought leader and presenter on the raging Artificial Intelligence revolution. He teaches Control Systems in two departments at UJ: Mechanical Engineering Science and Electrical and Electronic Engineering Science. Engineer Mutambara previously taught and conducted research in Control Systems, Robotics and Mechatronics in the Aeronautics and Astronautics Department at the Massachusetts Institute of Technology (MIT), and in the Mechanical Engineering Department at the Florida Agricultural and Mechanical University-Florida State University (FAMU-FSU), both in the United States.
He was also a Research Scientist at the National Aeronautics and Space Administration (NASA), a Visiting Professor at MIT, and a Visiting Research Professor at Carnegie Mellon University s Robotics Institute. In his academic research and teaching, he has received outstanding reviews and praise from students and peers worldwide. He is a Chartered Engineer, a Fellow of the Institution of Engineering and Technology (IET), a Professional Engineer, a Fellow of the Zimbabwe Institution of Engineers (ZIE), a Fellow of the Zimbabwe Academy of Sciences (ZAS), and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
Prof. Mutambara is a distinguished and prolific author of eight books. He has written three electrical engineering books widely used in undergraduate and graduate engineering (teaching and research) programmes in the United States, Europe, China, Japan and Africa: Decentralized Estimation and Control for Multisensor Systems (1998), Design and Analysis of Control Systems (1999), and Design and Analysis of Control Systems: Driving the Fourth Industrial Revolution
Introduction.- Basics of Artificial Intelligence (AI).- AI Personalisation.- Challenges of the Global South.- Artificial Intelligence and the Global South.- Global South AI Adoption Case Studies.- AI Enablers for the Global South.- AI Drivers for the Global South.- AI Legislation and Regulations for the Global South.- AI Adoption Framework for the Global South.- There are Great Examples of AI Adoption in the Global South.- Lessons Can be Shared Across the Region.- Key Enablers and Drivers Must be Put in Place.- Enabling Legislation and Safety Regulations are Essential.- Each Country Needs an AI Adoption Framework: Vision, Mission, Policy, Strategy, Implementation, Monitoring and Evaluation.- AI Must be Adopted Across All Sectors in the Global South.- Conclusion.
| Erscheinungsdatum | 05.07.2025 |
|---|---|
| Reihe/Serie | Sustainable Development Goals Series |
| Zusatzinfo | XXX, 406 p. 77 illus., 65 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | artificial general intelligence • Artificial Intelligence • Deep learning • generative AI • global South • machine learning • responsible AI |
| ISBN-10 | 3-031-88422-1 / 3031884221 |
| ISBN-13 | 978-3-031-88422-1 / 9783031884221 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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