世界银行-从理论到实践_税务管理的战略性人工智能集成模型（英）-2025_62页_18mb

Summary Analysis of the Document

The document presents a comprehensive strategic framework for integrating Artificial Intelligence (AI) into revenue administrations, such as tax and customs agencies. The framework is designed to enhance operational efficiency, improve taxpayer services, and strengthen compliance efforts through a phased approach: Inception (Year 1), Consolidation (Year 2), and Optimization (3+ years). Key components include robust data governance, human-AI collaboration, ethical considerations, and capacity building. Implementation challenges noted include data privacy, model transparency, and organizational changes. Successful AI integration requires iterative development, explainable AI, and a focus on human oversight. Case studies from various countries (e.g., Uzbekistan, Australia, Singapore) demonstrate practical applications. The framework emphasizes the synergistic use of AI to complement human expertise, ensuring public trust and alignment with legal standards. The benefits include cost reduction, improved fraud detection, and enhanced decision-making, while adhering to performance metrics and regulatory compliance.