Artificial Intelligence-Enabled HR Digital Transformation for UAE Vision 2031: A Strategic Public-Sector Framework

Abstract

This paper explores how AI-enabled human resource management (HRM) could support the UAE 2031 while maintaining fairness, employee trust and managerial accountability. It presents a structured integrative synthesis of 47 journal articles published in 2021–2025, combining international HRM, digital-transformation and governance literature with a smaller UAE-specific evidence base. The available review documentation does not establish an exhaustive, reproducible database search or a formal study-quality assessment. The synthesis suggests that value depends on complementary capabilities in data stewardship, HR expertise, technical assurance, workforce engagement and governance. It also identifies risks of bias, surveillance, reduced autonomy and unclear responsibility. The contribution is a proposed public-sector adaptation that connects these capabilities to HR decision quality, workforce outcomes and public value, supported by a conceptual five-stage maturity pathway and an implementation roadmap. The framework distinguishes organizational indicators from national outcomes and embeds explanation, review and remedy in consequential employment decisions. It is intended to guide bounded pilots and future research, rather than to demonstrate achieved UAE-wide benefits. Its relationships, measures and proposed stage sequence require empirical validation in UAE organizations.