Misconduct & Plagiarism Policy

Artificial Intelligence and Machine Learning Review (AIMLR) is committed to maintaining strict ethical standards and upholding integrity within scholarly publishing. The journal investigates all forms of academic misconduct, including plagiarism, data manipulation, falsification, duplicate publication, and unethical research practices. The editorial office reserves the right to refer suspected cases of misconduct to relevant authorities, including institutional supervisors, funding agencies, or the journal’s editorial board. Authors and reviewers have the right to respond to any allegation raised against them, and investigations are carried out with thorough documentation and confidentiality. Allegations are examined carefully and resolved based on verifiable evidence.

Handling Errors and Misconduct

If errors that affect the interpretation of scientific findings are detected before or after publication, AIMLR may issue an official correction notice to amend the scholarly record. In cases where published work is found to contain fabricated data, manipulated findings, or serious ethical breaches, the journal may issue a retraction. If misconduct is suspected but not yet confirmed, an expression of concern may be published while the investigation continues. Depending on the severity of the violation, the author’s academic institution may be notified, and authors may be temporarily or permanently barred from publishing with AIMLR.

Plagiarism Policy

AIMLR enforces a zero-tolerance policy toward plagiarism, self-plagiarism, and unauthorized duplication of previously published material. Plagiarism includes copying text, figures, tables, or ideas without proper citation, regardless of whether the material was created by the same author or another researcher. Authors must ensure that all sources, quotations, and data used in their manuscripts are appropriately cited in accordance with the journal’s submission guidelines. Reuse of an author’s previously published content without proper citation is treated as self-plagiarism and is not permitted.

Plagiarism Detection

All submissions are screened using professional plagiarism detection software, such as Turnitin or iThenticate, to identify overlap, text duplication, or inappropriate similarity. Manuscripts with substantial textual duplication or unreferenced material will be rejected without review. If plagiarism is confirmed after publication, the article may be subject to correction or retraction.

Permitted Forms of Reuse

Reuse of content is permitted under limited circumstances, provided that the work is original and belongs to the submitting author. Acceptable forms of duplication may include material derived from the author’s academic thesis or dissertation, previously presented conference abstracts or posters, or registered datasets that are publicly accessible. In all cases, proper citation and transparency are mandatory.

Translations and Permissions

If authors wish to publish translated material that has previously appeared in another language or journal, they must secure written permission from the original copyright holder. Translated versions must clearly identify the original source and meet all requirements for attribution.

Consequences of Misconduct

Any act of plagiarism, fabrication, falsification, or research misconduct is a violation of AIMLR’s publication ethics and will not be tolerated. Confirmed cases of misconduct will be handled in accordance with COPE (Committee on Publication Ethics) recommendations. Possible consequences include rejection of the manuscript, retraction of a published article, notification of institutional authorities, or permanent prohibition from future submissions to AIMLR.