Hybrid AI and Blockchain Systems for Digital Identity in Developing Countries
Sónia Calado, Cláudia Miranda Veloso · Advances in computational intelligence and robotics book series · 2025
The digital transformation of public administration demands innovative solutions that balance operational efficiency with inclusive governance. This chapter proposes a hybrid framework using predictive AI and blockchain to address a key barrier in developing countries: the lack of formal digital identities. By applying AI-driven predictive analytics to biometric verification and leveraging blockchain for data integrity and decentralization,it is demonstrated that integrated systems can support secure, scalable identity infrastructures. These systems expand access to public services and generate real-time data that help governments forecast needs, reduce exclusion and allocate resources strategically. Drawing on empirical studies and case examples, the chapter explores opportunities, implementation challenges and policy implications, focusing on algorithmic transparency, ethical data governance, and institutional readiness, while showing how AI-powered predictive technologies can transform public administration through inclusive, data-informed and accountable digital identity systems.