Peer Review Process

The Journal of Artificial Intelligence and Technology is a formally peer-reviewed journal. All publications in the journal undergo a double-blind peer review process where reviewers doesn't know the identity of the author, and vice-versa.

  1. Editor first review the submitted manuscript, called initial review by the editor. It will be evaluated whether the submitted manuscript is suitable for the Journal of Artificial Intelligence and Technology based on scope, similarity score by using Crosscheck-iThenticate, readability of the articles, and adhering to the submitted paper template.
  2. Furthermorethe manuscript will be sent to Associate Editors who will invite at least 2 anonymous reviewers and make a decision on the article. Once the Associate Editors submits their recommendation and the reviews, the Editor will review the recommendation and make a final decision.
  3. The accepted manuscript then continued to the copyediting and layout editing process to prepare the camera-ready paper.

Review Decisions

Editor is permitted to take the following actions in the stage of initial review:

  1. Return the paper without review because the paper is outside the scope of the journal.
  2. Return the paper without review because the lack of readability of the article.
  3. Return the paper without review because the technical content is insufficient.
  4. Return the paper without review because the paper grossly exceeds the length limitations.

 Editor reviews the comments made by reviewers and is allowed to make following decisions:

  1. Accept
  2. Revise
  3. Reject

After submitting revisions to the journal, authors are required to submit a rebuttal to the reviewer comments. Authors should fully address all reviewer comments, if an author does not agree with the change requested, the author should explain the reason in the rebuttal. If Editor feels that reviewer comments have been ignored, the Editor may reject the revised article.

 

 

Plagiarism Detection

The Journal of Artificial Intelligence and Technology uses the Similarity Check service provided by Crossref and powered by iThenticate to provide editors with a user-friendly tool to help detect plagiarism. Results returned by the software may be used as a criterion for the analysis of the manuscript by the editorial board and may eventually result in a rejection due to plagiarism and/or duplicate publication.

The CrossRef Similarity Check uses iThenticate originality detection software to identify text similarities which may indicate plagiarism. It does this by comparing manuscripts with both a web repository and the CrossRef database.

 

Recommended reading

· CrossCheck Plagiarism Screening: Understanding the Similarity Score

· Self-Plagiarism: Is it Really Plagiarism?

· 6 Consequences of Plagiarism