WBKH/Journals/ JGAIS

A WBKH INTERNATIONAL JOURNAL

Journal of Global Artificial Intelligence Systems

An international, peer-reviewed, open-access journal for dependable, human-centred, and responsible AI futures.

Journal InformationAims & ScopePeer ReviewOpen AccessArticle TypesFor AuthorsIndexingSubmit Manuscript →

JOURNAL DESCRIPTION

About the Journal

Journal of Global Artificial Intelligence Systems (JGAIS) is an international, peer-reviewed, open-access journal dedicated to rigorous research on artificial intelligence systems, intelligent computing, and the responsible design, deployment, evaluation, and governance of AI-enabled technologies.

JGAIS connects foundational advances in algorithms, models, data, and computation with the engineering of dependable AI systems and their applications across society and industry. It provides a multidisciplinary forum for computer scientists, engineers, data scientists, domain experts, policymakers, and practitioners working across established and emerging contexts.

The journal particularly welcomes work that advances trustworthy, efficient, robust, secure, accessible, and human-centred AI. Research may address theoretical developments, system architectures, deployment and operations, societal impact, or real-world applications. Quantitative, qualitative, mixed-methods, design-science, experimental, and interdisciplinary approaches are all within scope.

AIMS & SCOPE

A global, multidisciplinary view of artificial intelligence systems.

JGAIS welcomes scholarship that links AI foundations with the engineering, governance, and use of intelligent systems. The journal values work that develops methods, evaluates systems, strengthens reliability and accountability, informs policy, improves practice, and supports responsible innovation across domains and regions.

The journal welcomes contributions across, but not limited to, the following artificial intelligence systems areas:

AI Foundations, Machine Learning & Deep Learning

Learning theory, supervised and unsupervised learning, deep architectures, optimisation, reinforcement learning, and evaluation.

Generative AI, Language & Multimodal Systems

Large language models, generative models, natural language processing, speech, vision-language systems, and multimodal interaction.

Computer Vision, Perception & Sensing

Image and video analysis, remote sensing, pattern recognition, sensor fusion, visual analytics, and perception systems.

Intelligent Agents, Robotics & Autonomous Systems

Multi-agent systems, robotics, autonomous vehicles, planning, control, simulation, and human–robot collaboration.

AI Systems, MLOps, Cloud & Edge Intelligence

AI infrastructure, model lifecycle, deployment, monitoring, scalable computing, edge AI, distributed systems, and reliability.

Data Engineering, Knowledge Systems & Decision Support

Data pipelines, knowledge graphs, data quality, information retrieval, explainable decision support, and intelligent analytics.

Trustworthy AI, Safety, Ethics & Governance

Explainability, fairness, accountability, transparency, robustness, AI safety, auditing, policy, standards, and regulation.

AI Security, Privacy & Resilience

Adversarial machine learning, privacy-preserving AI, secure model development, data protection, cyber defence, and resilience.

Human-Centred AI & Social Impact

Human–AI interaction, accessibility, digital inclusion, participatory design, work and skills, social implications, and public trust.

Applied AI & Interdisciplinary Innovation

AI for health, education, business, finance, climate, sustainability, public services, manufacturing, agriculture, and creative industries.

LATEST ARTICLES

Latest artificial intelligence systems research.

View sample article →
OPEN ACCESS · SAMPLE ARTICLE

Trustworthy Multimodal AI Systems for Real-Time Decision Support

Demonstration article record for the JGAIS publication layout.

Read sample → RESEARCH PREVIEW

Responsible Generative AI in Knowledge-Intensive Work

Sample metadata card for future language-model and human-AI research.

Read sample → SYSTEMS PREVIEW

Edge Intelligence for Resilient Public Services

Sample article presentation for dependable AI systems research.

Read sample →

FOR AUTHORS

Submit research with confidence.

JGAIS considers original research articles, reviews, policy analyses, case studies, short communications, technical reports, and conference reports. Authors are asked to prepare a complete manuscript, a separate title page, and an anonymized file for double-anonymized peer review.

Read author guidelines →

ABSTRACTING & INDEXING

Designed for discovery and visibility.

Article metadata is registered through Crossref and made discoverable through Google Scholar and Dimensions. Applications for additional services, including DOAJ, Scopus, and Web of Science, are assessed independently by the relevant indexing providers.

Explore indexing & archiving →

EDITORIAL FRAMEWORK

Transparent publishing standards.

Peer ReviewDouble-anonymized assessment and editorial decisions.→ Open AccessFree APC, author copyright, and CC BY 4.0 licensing.→ Publication EthicsOriginality, integrity, data, and responsible authorship.→ For ReviewersIndependent, confidential, and constructive review guidance.→

THEMATIC COLLECTIONS

Research communities around timely questions.

JGAIS supports focused research collections on sustainability priorities, with all submitted work following the journal’s standard editorial and peer-review process.

Explore thematic collections →
Chat with us