The Journal of Generative AI in Public Sector (AIPOST) is an open access platform exploring how AI is transforming governance, policymaking, and public services. It publishes research, case studies, and expert insights on transparency, efficiency, and citizen engagement through Generative AI. The journal also examines ethical and legal challenges, promoting responsible and sustainable AI adoption for the public good.
Archives
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Launch Editorial
Vol. 1 No. 1 (2025)Welcome to the inaugural issue of the Journal of Generative AI in the Public Sector. We find ourselves at a historic inflection point – an era defined not only by the rapid rise of artificial intelligence, but also by an overwhelming surge of narratives, claims, and hype surrounding it. The line between substance and spectacle has blurred, and for many in the public sector, this creates a cognitive battlefield where clarity is scarce and strategic direction is elusive. Ironically, AI itself contributes to this ambiguity: generative models amplify noise, simulate expertise, and can inadvertently distort decision-making environments they were designed to enhance.
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Journal of Generative AI in Public Sector
Vol. 1 No. 3 (2025)The Journal of Generative AI in Public Sector (JGAPS) is a peer-reviewed, open-access scholarly journal dedicated to advancing the understanding and application of generative artificial intelligence (AI) within government, public administration, and social service contexts. The journal serves as a platform for academics, practitioners, and policymakers to share insights, research findings, and innovative practices that explore the transformative potential of AI in delivering efficient, transparent, and citizen-centric public services.
