The Journal of Artificial Intelligence Research and Innovation (JAIRI) follows a rigorous peer review process to ensure the publication of high-quality, original research in artificial intelligence, machine learning, deep learning, and AI applications. The journal upholds the highest standards of scientific integrity, ethical compliance, and research transparency.

Peer Review Process

1. Initial Manuscript Screening

Upon submission, each manuscript undergoes an initial review by the editorial team to determine if it meets the scope and quality standards of the journal. The assessment includes:

  • Relevance to artificial intelligence, machine learning, deep learning, data science, or related fields.
  • Compliance with ethical guidelines, including the use of AI models, datasets, and bias considerations.
  • Adherence to journal formatting and reporting standards.
  • Scientific soundness, originality, and potential impact of the study.

Manuscripts that do not meet these fundamental criteria may be rejected at this stage without external peer review.

2. Selection of Reviewers

Manuscripts passing the initial screening are assigned to expert reviewers specializing in artificial intelligence, data science, machine learning, or related computational fields. Reviewers are selected based on their academic credentials, research expertise, and prior contributions to the field.

3. Double-Blind Peer Review

The JAIRI follows a double-blind review process, ensuring that both authors and reviewers remain anonymous to maintain fairness, objectivity, and eliminate bias.

4. Reviewer Assessment

Reviewers evaluate manuscripts based on the following key criteria:

  • Scientific Rigor: The study must be based on a robust methodology, including proper dataset selection, model validation, and performance metrics.
  • Novelty and Contribution: The research should introduce new AI models, algorithms, or applications with significant impact on the field.
  • Transparency and Explainability: The study should provide details on model architecture, training data, hyperparameters, and explainability techniques.
  • Clarity and Structure: The manuscript should be well-organized, clearly written, and logically structured.
  • Ethical AI Compliance: The research must adhere to ethical AI guidelines, including fairness, bias mitigation, privacy considerations, and responsible AI deployment.

5. Editorial Decision

Based on the reviewers’ feedback, the editorial team makes one of the following decisions:

  • Accept: The manuscript is approved for publication without further modifications.
  • Minor Revisions: The manuscript requires minor changes before final acceptance.
  • Major Revisions: The manuscript requires substantial modifications and may undergo a second round of peer review.
  • Reject: The manuscript does not meet the journal’s quality or relevance criteria.

6. Revision and Resubmission

For manuscripts requiring revisions, authors must submit a revised version along with a detailed response document addressing the reviewers’ comments. The revised manuscript may be reassessed by the original reviewers before final acceptance.

7. Final Acceptance and Publication

Once the manuscript meets all necessary revisions and quality standards, it is accepted for publication. The final version undergoes editing, formatting, and proofreading before being published online and in print.

8. Post-Publication Review

The JAIRI encourages continued academic discussion and welcomes post-publication feedback. If readers or researchers identify any concerns related to AI ethics, model performance, or methodology, appropriate corrections, clarifications, or retractions may be issued.

9. Ethical Compliance

The journal adheres to the ethical guidelines of the Committee on Publication Ethics (COPE) and follows best practices for AI research, including bias reduction, responsible AI deployment, and data privacy. Any suspected cases of research misconduct, data fabrication, or conflicts of interest will be thoroughly investigated.

The JAIRI is committed to a fair, transparent, and timely peer review process. For any inquiries regarding the review process, please contact the editorial office.