Abstract: Sustainable development has become a global imperative in the 21st century as societies grapple with environmental, social, and economic challenges. Machine learning (ML), a subset of artificial intelligence (AI), has emerged as a powerful tool to address these complex issues. Accordingly, this chapter explores the intersection of sustainable development and innovation, delving into the transformative potential of innovative solutions, particularly within the context of AI-powered techniques. Moreover, it examines how innovation, guided by sustainability principles, can be harnessed to address complex global challenges and help us progress towards a world where Sustainable Development Goals (SDGs) are not just aspirations but achievements. Furthermore, it explores how ML contributes to sustainable development across various domains, challenges encountered, and future directions.
Real-Time Artificial Intelligence (AI), Taylor and Francis, 2026
Kassim Kalinaki, Wasswa Shafik, Khairul Eahsun Fahim
The Convergence of Federated Learning and Healthcare 5.0 and Beyond: A New Era of Intelligent Health Systems, Springer, 2026
Wasswa Shafik, Kassim Kalinaki
Emerging Technologies and Business Development in the Tropics, Taylor and Francis, 2026
Afiqah Amin; Kassim Kalinaki
IGI Global, Global Perspectives on Digital Governance and National Transformation, 2025
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