The Journal of Generative AI in Public Sector is a distinguished academic publication proudly presented by the American Institute of Artificial Intelligence (AIAI). Set to commence publication in 2024, this quarterly journal is dedicated to the exploration and analysis of generative artificial intelligence within the public sector. As an open access journal, it aims to disseminate cutting-edge research and foster a rich dialogue among academics, policymakers, and practitioners worldwide.

Scope and Focus

The journal extensively covers the application and implications of generative AI across various facets of the public sector. This includes a broad spectrum of domains such as public policy, democracy, defense, security, law enforcement, intelligence, and climate change. Additionally, it addresses the role of generative AI in political movements, statecraft, governance, education, economic development, and diplomacy. The aim is to provide a comprehensive platform that reflects the multifaceted impacts of AI technologies on public life and infrastructure globally.

Research Aims and Objectives

The primary goal of the Journal of Generative AI in Public Sector is to advance the understanding of generative AI technologies and their transformative potential within public sector contexts. It seeks to:

Illuminate the ways in which generative AI can enhance efficiency, transparency, and responsiveness in governmental operations.

Explore the ethical dimensions and policy considerations critical to the deployment of AI in sensitive public arenas.

Evaluate the impact of AI-driven innovations on public governance and societal welfare.

Foster interdisciplinary approaches that combine insights from AI technology, social sciences, and public administration.

Content and Contributions

The journal invites contributions that are both theoretical and applied in nature, encouraging a balanced dialogue between foundational research and practical implementations. Submissions may include, but are not limited to:

Empirical studies that assess the effectiveness of AI applications in public settings.

Theoretical papers that explore conceptual frameworks or propose new models of AI integration into public systems.

Policy analyses discussing the regulatory challenges and frameworks necessary to support ethical AI practices in the public sector.

Case studies from different regions and contexts, showcasing innovative uses of AI in public administration and the resultant outcomes.

For Authors and Readers

As an open access publication, the journal ensures that all content is freely available without charge to the reader or their institution. This approach facilitates a greater global exchange of knowledge and allows for the widest dissemination of information. Authors are encouraged to contribute original research articles, review articles, case studies, and methodological advancements in the field of generative AI.

Editorial Excellence and Rigorous Review

The journal upholds the highest standards of academic rigor and integrity. Each submission undergoes a stringent peer-review process conducted by experts in the field to ensure the quality and relevance of the published research. The editorial board comprises renowned scholars and practitioners from diverse geographies and disciplines, enriching the journal’s content with a wide range of perspectives and expertise.

Join Us in Shaping the Future

The Journal of Generative AI in Public Sector invites scholars, policymakers, and AI practitioners to contribute to this evolving field. By participating in this scholarly exchange, contributors can influence the trajectory of AI development in the public sector and contribute to the global discourse on the responsible and effective integration of AI technologies into public life.

For submission guidelines, publication schedules, and more information on how to contribute, please visit our website. Join us in exploring the profound implications of generative AI and its capacity to reshape public sector landscapes around the world.