Plagiarism Policy

The International Journal of AI and Machine Learning (IJAIML) is firmly committed to upholding the highest standards of academic integrity, originality, and ethical scholarly publishing. The journal considers plagiarism in any form to be a serious violation of academic ethics and does not tolerate unethical research or publication practices. Upholding originality and ensuring appropriate attribution of intellectual contributions are fundamental to maintaining trust, credibility, and transparency in scholarly communication, particularly in the rapidly advancing fields of artificial intelligence and machine learning.

IJAIML recognizes that scholarly publishing is built upon respect for intellectual property and ethical research conduct. The journal therefore seeks to ensure that all research published represents the original intellectual contribution of the author(s) and that any use of previously published material is properly acknowledged. Authors are expected to give appropriate credit to the ideas, concepts, data, methodologies, algorithms, models, figures, tables, software, and findings of others through accurate citation and comprehensive referencing.

The journal emphasizes that plagiarism may occur in various forms, including direct copying, inappropriate paraphrasing, self-plagiarism, duplicate publication, and the unauthorized use of figures, datasets, or code. Both intentional and unintentional plagiarism are treated as serious ethical concerns, as they undermine the integrity of the scholarly record and the credibility of the research community.

To safeguard research integrity, the International Journal of AI and Machine Learning employs plagiarism detection and editorial screening procedures as part of its manuscript evaluation process. Submitted manuscripts are reviewed to identify potential overlap with previously published literature and to ensure compliance with accepted ethical standards. When overlap is identified, the editorial team carefully evaluates the context, extent, and nature of the similarity to determine whether it is acceptable or constitutes a breach of ethical guidelines.

Authors submitting manuscripts to IJAIML bear full responsibility for ensuring that their work is original, properly cited, and ethically sound. Authors are also expected to disclose any related or overlapping publications and to obtain necessary permissions for the use of copyrighted or third-party material. Failure to adhere to these requirements may result in rejection of the manuscript, corrective action, or post-publication measures.

By clearly articulating its stance on plagiarism, the International Journal of AI and Machine Learning reaffirms its commitment to ethical research practices, responsible authorship, and academic accountability. Through strict adherence to plagiarism prevention and detection standards, the journal aims to protect the integrity of the scholarly record, promote ethical scholarship, and maintain the confidence of authors, readers, and the global research community.