FinTech and Artificial Intelligence for Sustainable Development

David Mhlanga is a Senior Research Fellow at the University of Johannesburg, South Africa.  His research topics include financial inclusion, poverty studies, and Industry 4.0. His wider subject areas include development economics, the economics of artificial intelligence, health, and education economics. He is the author of Digital Financial Inclusion, published by Palgrave in 2022.

• Part I. Introduction and background.- 1. FinTech and Artificial Intelligence for Sustainable Development: The Role of Smart Technologies in Achieving Development Goals.- 2. Exploring the Evolution of Artificial Intelligence and the Fourth Industrial Revolution an Overview.- 3. Financial Technology (FinTech) an Introduction.- 4. A Historical Perspective on Sustainable Development and the Sustainable Development Goals.- Part II. Advancing the sustainable development goals (sdgs) with fintech and artificial intelligence.- 5. Fintech and Artificial Intelligence in Addressing Poverty, Towards Sustainable Development.- 6. The Role of Fintech and AI in Agriculture, Towards Eradicating Hunger and Ensure Food Security.- 7. Financial Technology, Artificial Intelligence and The Health Sector, Lessons Are We Learning on Good Health and Well-Being.- 8. Financial Technology, Digital Transformation, and Quality Education in the Fourth Industrial Revolution.- 9. Artificial Intelligence and Machine Learning in Making Transport, Safer, Cleaner, More Reliable and Efficient in Emerging Markets.- 10. FinTech and Climate-related Challenges in the Fourth Industrial Revolution.- 11. Artificial Intelligence and Machine Learning in the Power Sector.- 12. Block Chain for Digital Financial Inclusion Towards Reduced Inequalities.- 13. The Power of Smart Technologies for Global Partnership for Development.- 14. Fintech and Financial Inclusion: Application of AI to the Problem of Financial Exclusion What Are the Challenges.- 15. FinTech for Sustainable Development in Emerging Markets with Case Studies.- 16. Artificial Intelligence and Machine Learning for Sustainable Development Case studies in Emerging markets.- Part III. conclusion and policy recommendations.- 17. Conclusion on FinTech and Artificial Intelligence for Sustainable Development: The Role of Smart Technologies in Achieving Development Goals.