Originality Protection
Every manuscript must be original, properly referenced and free from copied content.
(International Open Access, Peer-reviewed, Refereed Journal)
IJACST protects original scholarship, human accountability, citation honesty, reviewer confidentiality and responsible use of generative artificial intelligence in scholarly publishing.
International Journal of Arts, Commerce, Science and Technology (IJACST) maintains a strict Plagiarism Prevention and Generative AI Ethics Policy to protect academic originality, author accountability, peer-review credibility and the long-term reliability of the scholarly record.
This policy is designed for authors, reviewers, editors, universities, colleges, research supervisors, ISSN evaluation bodies, indexing reviewers and academic institutions seeking a transparent and trustworthy publication framework.
Every manuscript must be original, properly referenced and free from copied content.
AI use must remain transparent, limited, human-verified and accountable to authors.
Human authors remain fully responsible for the accuracy and integrity of the manuscript.
Only manuscripts cleared through integrity screening proceed to peer review.
IJACST does not accept manuscripts containing plagiarism, fabricated data, manipulated citations, fake references, duplicate publication, undisclosed AI-generated content or unethical use of generative artificial intelligence.
IJACST defines plagiarism as presenting another person’s words, ideas, data, images, theories, structure, interpretation, tables, figures or research logic as one’s own without proper acknowledgment.
Copying text word-for-word without quotation, citation or proper attribution.
Changing wording while keeping another author’s idea, argument or logic without citation.
Combining copied phrases from multiple sources and presenting them as original writing.
Reusing one’s own previously published text, data or sections without disclosure.
Submitting or publishing substantially the same manuscript in more than one journal.
Dividing one study into weak overlapping manuscripts to inflate publication count.
Translating a published work and presenting it as original without attribution.
Using graphs, tables, datasets, photographs or figures without permission or citation.
IJACST may use similarity-checking tools and editorial review to detect text overlap, improper citation, copied structure and duplicate submissions. Final judgment depends on editorial context, citation quality, source overlap and academic honesty.
May be acceptable when overlap is properly cited and limited to standard material.
May require correction, rewriting, citation improvement or editorial clarification.
Substantial similarity may require major revision or rejection depending on context.
Normally rejected before peer review when similarity reflects unethical copying.
For fair evaluation, IJACST may exclude standard academic and technical material from the final similarity interpretation. Editors may still examine excluded material if citation manipulation or unethical reuse is suspected.
Before submission, authors must confirm that the manuscript is original, all sources are properly cited, no part is copied without acknowledgment, the manuscript is not under review elsewhere, data and results are genuine, and AI assistance is disclosed where applicable.
Generative AI tools may assist authors in limited ways, but they cannot replace human scholarly judgment, critical thinking, originality, data interpretation or accountability. Authors must ensure that AI use does not introduce plagiarism, false information, fabricated references, biased interpretation or unsupported academic claims.
IJACST does not allow AI tools to be listed as authors, co-authors or contributors because authorship requires responsibility and accountability that AI systems cannot provide.
Authors must disclose meaningful AI use during manuscript preparation. Disclosure should identify the AI tool name, version or provider where available, purpose of use, section affected and human verification process.
“AI tool [name/version] was used for [specific purpose]. The authors reviewed and verified all AI-assisted content and accept full responsibility for the final manuscript.”
Authors must not use AI tools to create or alter research images, graphs, maps, tables, laboratory images, field photographs or datasets in ways that mislead readers. AI-assisted visuals must be disclosed if they affect scholarly interpretation.
Reviewers and editors must not upload confidential manuscripts, unpublished data, reviewer reports or editorial correspondence into public AI tools. This protects manuscript confidentiality, author intellectual property, reviewer anonymity, editorial independence and ethical investigation records.
IJACST uses a multi-layer integrity screening process before peer review. Only manuscripts that pass integrity screening proceed to double-blind peer review.
Formatting, authorship details, missing declarations and submission completeness are checked.
Text overlap, duplicate content, copied sections and suspicious similarity patterns may be examined.
Editors may examine unnatural writing, fake references, unsupported claims and AI-style hallucinations.
Human editors review context, citation quality, originality, methodology and scholarly contribution.
Only integrity-cleared manuscripts proceed to double-blind peer review.
Depending on seriousness, IJACST may take corrective, investigative or post-publication action. Retraction is used to correct the scholarly record, not merely to punish authors.
Return for correction, rejection before peer review, withdrawal from review or author notification.
Institutional clarification, evidence review, correction notice or expression of concern may follow.
Retraction, DOI metadata update, indexing notification or future submission restriction may be applied.
Readers, reviewers, authors, institutions and scholars may report suspected plagiarism, AI misuse, fake references, duplicate publication, manipulated data or unethical authorship.
Subject Line:
Plagiarism or AI Ethics Concern – [Article Title / DOI]
IJACST supports ethical innovation. AI can help improve language and accessibility, but scholarship must remain human-led, evidence-based, original, transparent and accountable.