This book reveals how AI can enhance fiscal accountability, combat financial fraud, expand inclusive finance, and empower citizens—without requiring advanced infrastructure, through real-world case studies and interdisciplinary analysis. In an age defined by data, this book offers a groundbreaking roadmap for leveraging artificial intelligence, machine learning, and big data analytics to transform public finance and drive sustainable development in resource-constrained economies.This timely book brings together leading scholars and practitioners from Palestine, Jordan, the UK, Canada, and beyond to explore how intelligent systems—from predictive budgeting models to blockchain-based transparency tools—are reshaping governance in emerging markets.Designed for researchers, policymakers, development practitioners, and graduate students, this is not just a theoretical treatise—it is a practical guide to building ethical, scalable, and data-driven public institutions. With chapters on healthcare analytics, smart education, cybersecurity, and ethical AI, it bridges the gap between technological potential and real-world impact in the Global South.A vital contribution to Springer’s Studies in Big Data series, this book is essential reading for anyone committed to equitable, intelligent, and sustainable governance in the 21st century.