Title: A Strategic Framework for Implementing Artificial Intelligence in Public Governance: A 10-Step Roadmap for Developing Nations Author(s): Rakesh Raman (RMN News Service | RMN Foundation) Publication Date: October 2025 Abstract & Core Contribution: This research paper addresses the profound dual challenge faced by developing nations, exemplified by India: managing massive populations while overcoming systemic inefficiencies in public service delivery. Traditional bureaucratic systems are often characterized by manual processes, data silos, and a lack of real-time insights. While the current public sector adoption focuses on task-specific Artificial Narrow Intelligence (ANI), widespread implementation is hampered by poor data quality, lack of interoperability, and scalability challenges. The paper's core contribution is a comprehensive 10-step strategic framework for the responsible and effective implementation of AI in public governance. This phased roadmap is engineered to directly counter systemic limitations by integrating technical infrastructure, human capital development, ethical oversight, and a commitment to equity. The framework guides governments to transition from reactive, "one-size-fits-all" service models to systems that are proactive, personalized, and predictive. Key steps include establishing centralized AI governance, building a unified data backbone, launching mass skilling initiatives, implementing risk-based assessment, and mandating Explainable AI (XAI). Ultimately, the objective is to build the necessary technical capacity and ethical foundations to maximize the benefits of ANI today while preparing the nation for the complexities of Artificial General Intelligence (AGI). The proposed ethical guardrails align with internationally recognized frameworks, including the UNESCO Recommendation on the Ethics of Artificial Intelligence, the OECD AI Principles, and the emerging EU AI Act. Rakesh Raman