The Journal of Artificial Intelligence in Information Technology (JAI-IT) is an international peer-reviewed scientific journal that publishes original articles on research advancements, applied studies, and development of Artificial Intelligence (AI) within Information Technology (IT) systems and infrastructures. JAI-IT serves as a publication platform for researchers, practitioners, and developers to share cutting-edge research and applied innovations in AI-driven IT solutions.
JAI-IT is published twice a year, in July and December.
The entire process—from manuscript submission, peer review, revision, to publication—typically requires 3–4 months.
All submitted articles will undergo an initial editorial screening and a rigorous double-blind peer-review process involving qualified reviewers and/or editors.
The Ethics of Scientific Publications outlines the responsibilities of managers, editors, reviewers, and authors. The ethical guidelines uphold three key principles:
Neutrality – Freedom from conflicts of interest in publication management.
Justice – Fair authorship rights for contributors.
Honesty – Avoiding duplication, fabrication, falsification, or plagiarism.
Before submission, authors must download and sign the Statement of Ethics and Copyright Agreement. The Statement of Ethics must be included with the initial submission, while the Copyright Agreement is required before publication. These documents may be submitted via postal mail, email, or fax.
Reporting Standards:
Authors must present accurate, honest accounts of conducted research and provide sufficient detail for replication. Fabrication, falsification, and manipulation of data are unacceptable.
Originality and Plagiarism:
Manuscripts must be original and properly cite all referenced works. Direct quotations must be placed in quotation marks and appropriately cited.
Multiple, Redundant, or Concurrent Publications:
Authors may not submit the same manuscript to multiple journals simultaneously or publish redundant versions of the same research.
Acknowledgement of Sources:
All data sources and previously published works must be acknowledged.
Authorship of the Paper:
Authorship must reflect significant contributions to the conception, research execution, or interpretation. All co-authors must approve the final manuscript.
Disclosure and Conflicts of Interest:
Authors must disclose all financial or personal conflicts of interest.
Fundamental Errors in Published Works:
If an author identifies a significant error, they must immediately contact the editor for correction or retraction.
Hazards and Human or Animal Subjects:
Manuscripts must clearly identify risks—including chemicals, hazardous materials, or sensitive procedures-if applicable.
Publication Decisions:
Editors decide on manuscript acceptance based on review reports, relevance, originality, and contribution to the field.
Review of Manuscripts:
Editors ensure originality screening and assign qualified reviewers while avoiding conflicts of interest.
Fair Play:
Editors evaluate manuscripts solely on intellectual merit, without bias regarding authors’ gender, race, religion, nationality, or political views.
Confidentiality:
Editors must maintain confidentiality for all submitted manuscripts.
Disclosure and Conflicts of Interest:
Editors must not use unpublished manuscript materials for personal research without written permission from the author.
Confidentiality:
Reviewers must treat manuscripts as confidential documents.
Acknowledgement of Sources:
Reviewers must identify relevant work not cited by authors and report ethical issues.
Standards of Objectivity:
Reviews must be professional, objective, constructive, and supported by clear arguments.
Disclosure and Conflicts of Interest:
Reviewers must avoid manuscripts where they have conflicts of interest.
Promptness:
Reviewers must return reviews within the agreed timeline or request an extension when needed.
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