AI-Driven Governance: Enhancing Transparency and Accountability in Public Administration

Abstract

Artificial Intelligence (AI) is transforming public administration by improving efficiency, enhancing transparency, and facilitating data-driven decision-making. This paper explores the integration of AI in government decision-making, examining its applications, challenges, and policy recommendations. The study highlights the role of AI in policy analysis, administrative efficiency, financial management, and public participation. Key challenges such as algorithmic bias, data privacy concerns, explainability issues, and regulatory gaps are discussed. The paper proposes a set of policy recommendations, including the establishment of AI ethics councils, implementation of explainability standards, enhancement of public AI literacy, and the creation of AI transparency laws. Future research should focus on hybrid human-machine governance models to ensure AI adoption aligns with democratic principles and accountability standards. Ultimately, responsible AI implementation can democratize governance, increase public trust, and lead to more effective and transparent public administration.