Journal Overview

The Journal of Generative AI in Public Sector (AIPOST) is a peer-reviewed, open-access platform devoted to exploring the transformative role of generative artificial intelligence within government and public service domains. As AI technologies evolve, their impact on decision-making, policy design, and public service delivery continues to grow — AIPOST examines these developments from both theoretical and practical perspectives.

AIPOST brings together scholars, practitioners, policymakers, and technologists to share rigorous research, empirical case studies, and practical applications of generative AI across the public sector. Our mission is to bridge academic innovation with real-world public-sector challenges by publishing high-quality, original work that promotes responsible, effective, and equitable AI deployment.

Scope

The journal’s focus includes (but is not limited to):

• AI-driven policy design, decision-support, and evaluation;
• Generative AI applications in healthcare, education, social services, and urban management;
• Ethical, legal, regulatory, and governance frameworks for AI adoption;
• Digital transformation of public administration and accountability mechanisms;
• Privacy, security, and risk management in AI systems used by public institutions;
• Comparative and cross-national studies on AI practices in government.

Article Types

We welcome a variety of submission types, including original research articles, review papers, policy analyses, technical notes, and practice-oriented case studies. Submissions should demonstrate scholarly rigor, methodological clarity, and relevance to public-sector stakeholders.

Open Access & Peer Review

AIPOST is committed to open access: all published content is freely available for reading, downloading, and sharing. Manuscripts undergo a transparent, double-blind peer-review process to ensure high academic standards and integrity.

Audience

The journal serves researchers, policymakers, public servants, technologists, and civil society actors interested in how generative AI can be responsibly and effectively integrated into public-sector workflows.

For enquiries or submissions, please contact the editorial office at clientservices@americanai.com.