Volume-XII, Special Issue, April 2026 |
Artificial Intelligence and the Future of Public Administration Abhisek Khan, Research Scholar, Department of Political Science, Bankura University, West Bengal, India |
Received: 06.03.2026 | Accepted: 07.04.2026 | Published Online: 10.04.2026 | Page No: 317-326 | ||||
DOI: 10.29032/ijhsss.vol.12.issue.specialW.297 | |||||||
ABSTRACT | ||
Artificial intelligence (AI) is already becoming one of the most significant technological agents that transform the theory and practice of the field of public administration in the twenty-first century. In machine learning-based predictive analytics to drive evidence-based policymaking, natural language processing applications to automate delivery of citizen services, and algorithms to detect fraud in the public financial management, and AI-based decision support in healthcare and justice administration, AI has invaded government functions in a wide-ranging manner that continues to accelerate. The current paper is a thorough exploration of the transformational nature of AI in governmental administration and is relying solely on scholarly articles, institutional research, and policy documents published on the internet. The paper will compare the main uses of AI in major areas of the public sector, assess the efficiency, transparency, and responsiveness benefits reported in the international literature, and will equally scrutinize the major issues of concern, namely, the problem of algorithmic bias, the lack of accountability of a black box, the vulnerability of data privacy, the replacement of workers, and the digital equity issue of automated decision-making, which must be tackled before AI can The article also overviews evolving international regulatory standards, including the historic AI Act of the European Union to the G7 Toolkit of AI in the Public Sector, and defines a principles-driven governance agenda of responsible AI integration in government. The paper is of the view that the transformative potential of AI in the context of public administration is not only real but conditional, contingent upon the ability to establish solid ethical governance frameworks, long-term commitment to investing in digital capacity within the public sector, and the willingness to ensure that all AI implementation decisions are made in light of prioritizing democratic values and the best interests of the citizens. | ||
Keywords: Artificial intelligence, public administration, e-governance, algorithmic bias, machine learning, natural language processing, AI ethics, democratic accountability, predictive governance, AI regulation |