Peer Review Process

The International Journal of Artificial Intelligence and Agent Systems (IJAIAS) follows a rigorous, transparent, and double-blind peer-review process designed to ensure the quality, integrity, reproducibility, and scholarly value of all published articles. All submissions are evaluated by independent experts, and editorial decisions are made without influence from authors, institutions, commercial interests, or affiliations.

Given the rapid pace of innovation in artificial intelligence, generative AI, intelligent agents, and autonomous systems, IJAIAS places particular emphasis on methodological rigor, reproducibility, responsible AI practices, and the validity of experimental evaluation.

The peer-review process consists of the following six stages:

1. Manuscript Handling

Authors submit their manuscripts through the IJAIAS online submission system, in accordance with the journal’s Author Guidelines, ethical policies, and reporting standards.

Submissions may include theoretical contributions, algorithmic developments, model architectures, benchmark studies, system implementations, agent-based frameworks, empirical analyses, review articles, or real-world AI applications.

2. Initial Editorial Screening

The Editor-in-Chief (EIC) conducts an initial screening to verify:

Alignment with the journal’s scope
Compliance with submission guidelines
Ethical and policy requirements
Relevance to artificial intelligence, agent systems, or autonomous technologies
Adequate methodological and scholarly quality

At this stage, submissions may be desk-rejected if they fall outside the journal’s scope or fail to meet baseline academic, technical, or ethical standards. No formal peer review is conducted at this point.

3. Assignment to Handling Editor

Manuscripts that pass the initial screening are assigned to a Handling Editor (Associate Editor or Section Editor), who assumes responsibility for managing the peer-review process and maintaining editorial oversight.

The Handling Editor ensures that reviewers possess appropriate expertise in the manuscript’s subject area, including fields such as:

Artificial Intelligence
Deep Learning
Reinforcement Learning
Generative AI
Large Language Models (LLMs)
Foundation Models
AI Agents and Agentic Systems
Multi-Agent Systems
Autonomous Systems
Natural Language Processing
Computer Vision
Vision-Language Models
AI Safety and Governance

4. Reviewer Selection and Invitation

The Handling Editor identifies and invites qualified, independent, and conflict-free reviewers with relevant subject-matter expertise.

IJAIAS follows a double-blind review model, ensuring anonymity of both authors and reviewers throughout the review process.

Reviewers are selected based on:

Demonstrated research expertise
Publication record
Methodological competence
Absence of conflicts of interest

The journal seeks to ensure balanced, fair, and technically informed evaluations across diverse AI research domains.

5. Peer Review and Evaluation

Upon acceptance of the invitation, reviewers critically assess the manuscript, focusing on:

Scientific Contribution

Originality and novelty
Significance of the contribution
Advancement of knowledge in the field

Technical Quality

Methodological soundness
Experimental design
Appropriateness of datasets and benchmarks
Statistical validity where applicable

Reproducibility and Transparency

Clarity of methods
Adequacy of evaluation procedures
Availability of data, code, or supporting materials where appropriate
Transparency of assumptions and limitations

Responsible AI Considerations

Where relevant, reviewers may also evaluate:

Model robustness
Explainability
Fairness and bias considerations
Safety implications
Alignment and governance concerns
Societal impact

Presentation Quality

Clarity and organization
Quality of writing
Relevance to the journal's audience

Reviewers submit detailed reports and recommend one of the following outcomes:

Accept
Minor Revision
Major Revision
Reject

6. Editorial Decision and Revision Management

The Handling Editor evaluates reviewer reports and makes a reasoned editorial recommendation.

Where revisions are requested:

Authors are provided with consolidated, constructive feedback
Revised manuscripts are reassessed by the Handling Editor
Additional rounds of peer review may be conducted when necessary
Authors may be required to provide detailed responses to reviewer comments

Final acceptance decisions rest with the editorial team.

Accepted manuscripts proceed to copyediting, production, and publication.

Editorial Decisions and Outcomes

Accept

Authors receive formal acceptance notification
Manuscript proceeds to production and copyediting

Reject

Authors receive a rejection decision with reviewer feedback where appropriate

Revision Required (Minor or Major)

Authors are invited to revise and resubmit
Revised manuscripts are evaluated for completeness and quality of response
Additional review may be conducted when necessary

AI Research Transparency and Reproducibility

To promote high-quality and trustworthy AI research, IJAIAS encourages reviewers and editors to consider reproducibility and transparency throughout the evaluation process.

Authors may be asked to provide:

Source code repositories
Model documentation
Dataset information
Evaluation protocols
Hyperparameter settings
Computational resource details
Safety and robustness assessments

The absence of publicly available resources will not automatically preclude publication; however, authors should clearly justify any restrictions arising from privacy, security, licensing, or proprietary considerations.

Editors and Editorial Board Members as Authors

IJAIAS permits Editors and Editorial Board Members to submit manuscripts, subject to strict safeguards to ensure fairness, independence, and transparency.

Editorial Safeguards

No editorial or review privileges are granted
Editors are fully excluded from decision-making regarding their own submissions
Independent editors manage the peer-review process
Reviewer selection remains independent
Accepted articles include a disclosure statement outlining the editorial safeguards applied

Special Issues and Guest Editors

Guest Editor Appointments

Guest Editors are appointed based on:

Demonstrated expertise in the special issue theme
Research leadership and scholarly standing
Editorial experience
Institutional credibility

Guest Editors coordinate submissions and peer review in collaboration with the IJAIAS Editorial Board, operating under the same ethical and quality standards as regular issues.

Special issues may focus on emerging topics such as:

Generative AI
Large Language Models
Foundation Models
AI Agents
Multi-Agent Systems
Autonomous Intelligence
AI Safety
Human-AI Collaboration
Vision-Language Models
Responsible AI
Emerging AI Applications

Peer Review for Special Issues

All special issue submissions undergo full external peer review.

Initial screening ensures thematic alignment
Independent reviewers evaluate originality, technical quality, significance, and methodological rigor
Guest Editors make recommendations
Final editorial oversight remains with IJAIAS

Special issue submissions are held to the same quality standards as regular submissions.

Reviewer Recognition

IJAIAS values the essential contributions of peer reviewers and recognizes their service through:

Annual public acknowledgement on the journal website
Review certificates upon request
Professional visibility through editorial engagement
Opportunities for future editorial and advisory roles

The journal recognizes that rigorous peer review plays a critical role in advancing trustworthy, reproducible, and impactful research in artificial intelligence and autonomous systems.