Aims and Scope

The Journal of Artificial Intelligence in Governance and Public Policy (JAIGPP) is an international, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality research on the development, application, governance, and societal implications of Artificial Intelligence (AI) in the public sector. The journal provides an interdisciplinary platform for advancing knowledge at the intersection of artificial intelligence, public administration, governance, public policy, data science, and digital transformation.

JAIGPP aims to promote research that supports evidence-informed policymaking, responsible AI adoption, transparent governance, efficient public service delivery, and sustainable societal development. The journal encourages contributions that address theoretical, methodological, empirical, and practical aspects of AI and emerging digital technologies in government institutions and public policy.

The journal welcomes original contributions from researchers, academicians, policymakers, practitioners, and industry professionals worldwide.

Scope

The journal publishes original research, review articles, case studies, policy analyses, technical papers, short communications, and perspectives in areas including, but not limited to:

Artificial Intelligence

• Artificial Intelligence

• Machine Learning

• Deep Learning

• Generative Artificial Intelligence

• Explainable Artificial Intelligence (XAI)

• Intelligent Decision Support Systems

• Natural Language Processing

• Computer Vision

• Reinforcement Learning

• Knowledge Representation and Reasoning

Governance and Public Administration

• AI in Public Administration

• Digital Government and e-Governance

• Smart Governance

• Government Innovation

• Public Sector Digital Transformation

• Intelligent Public Services

• Citizen-Centric Governance

• Public Sector Performance Management

• Administrative Innovation

Public Policy

• Public Policy Analysis

• Policy Analytics

• Evidence-Informed Policymaking

• Predictive Policy Modelling

• Regulatory Technologies (RegTech)

• Public Finance and Fiscal Policy

• Social Policy

• Economic Policy

• Environmental Policy

• Health Policy

• Education Policy

Ethics, Law and Governance of AI

• AI Ethics

• Responsible Artificial Intelligence

• Algorithmic Accountability

• Transparency and Explainability

• Fairness and Bias in AI

• AI Regulation and Governance

• Data Protection and Privacy

• Digital Rights

• Cybersecurity in Public Systems

Data, Digital Technologies and Innovation

• Big Data Analytics

• Open Government Data

• Data Governance

• Geographic Information Systems (GIS)

• Internet of Things (IoT)

• Blockchain for Public Administration

• Cloud Computing in Government

• Digital Identity Systems

• Digital Public Infrastructure

Sustainable Development and Public Services

• Smart Cities

• Sustainable Development Goals (SDGs)

• Climate and Environmental Governance

• Disaster Risk Reduction and Emergency Management

• Healthcare Systems

• Education Systems

• Agriculture and Rural Development

• Transportation and Urban Mobility

• Energy and Resource Management

JAIGPP publishes manuscripts that demonstrate scientific rigor, methodological soundness, originality, and relevance to the journal's scope. Interdisciplinary research that integrates Artificial Intelligence with governance, law, economics, management, public administration, political science, information systems, and related disciplines is particularly encouraged.

JOURNAL PARTICULARS

Journal Artificial Intelligence in Governance and Public Policy(JAIGPP) represents a rapidly evolving interdisciplinary domain that explores the integration of advanced computational technologies into public administration, policy design, and governance frameworks. This field focuses on leveraging artificial intelligence to enhance decision-making processes, optimize resource allocation, and improve the efficiency, transparency, and accountability of governance systems.

The application of artificial intelligence in governance and public policy encompasses a wide range of technologies, including machine learning, data analytics, natural language processing, and intelligent automation. These technologies enable governments and institutions to analyze complex datasets, predict societal trends, design evidence-based policies, and deliver more responsive and citizen-centric public services.

Key areas within artificial intelligence in governance and public policy include smart governance, digital government systems, policy analytics, ethical and responsible AI, regulatory and legal frameworks, data privacy and cybersecurity, and AI-driven sustainable development. The field also addresses critical challenges such as algorithmic bias, transparency, accountability, and the socio-economic implications of AI adoption in public systems.

By fostering innovation, interdisciplinary collaboration, and responsible implementation, artificial intelligence in governance and public policy plays a crucial role in shaping future governance models that are adaptive, inclusive, and data-driven. This domain continues to redefine how governments interact with citizens and how public policies are formulated, implemented, and evaluated in an increasingly digital world.