Jurnal Ilmiah Mappadising (JIM) requires transparency, human oversight, and accountability when generative artificial intelligence (AI) tools are used in research or manuscript preparation.
Generative AI tools cannot be listed as authors or co-authors because they cannot approve a submission, disclose conflicts of interest, or assume responsibility for the accuracy, integrity, originality, and ethical compliance of scholarly work.
Authors remain fully responsible for all submitted content, including material generated or modified with AI assistance. Authors must verify the accuracy of statements, references, data interpretations, tables, figures, and other outputs before submission.
AI-generated references must be checked against their original sources. Fabricated citations, invented research data, misleading images, and unsupported claims are unacceptable regardless of whether they were produced by a human or an AI tool.
Authors must disclose the use of generative AI in manuscript preparation or substantive research activities in a section titled Declaration of Generative AI Use. The declaration must identify the tool and provider, the version or model where available, the purpose of use, and the authors' verification of the resulting content.
When generative AI is used as part of the research methods, including data processing, coding, analysis, or the generation of research materials, its use must also be described in the Methods section in sufficient detail to allow readers to assess the procedure and its limitations.
Routine spelling checks, basic grammar checks, and reference-management functions do not require disclosure unless they involve generative AI that produces or substantively rewrites content.
AI-generated material must not be presented as observed patient data, actual clinical findings, or authentic research evidence. If synthetic data or AI-generated materials form part of the study design, they must be clearly identified, justified, and described in the Methods section.
AI tools must not be used to alter research images or data in ways that conceal, fabricate, or misrepresent findings. Any permitted processing must be transparently reported and must preserve the integrity of the original evidence.
Authors must protect patient information, participant data, and confidential institutional information when using AI tools. Identifiable or confidential information must not be entered into external AI systems unless the necessary authorization and appropriate privacy and data protection safeguards are in place.
Editors and reviewers must not upload unpublished manuscripts, review reports, or other confidential submission materials to external generative AI systems where confidentiality and data protection cannot be assured.
Editors and reviewers remain responsible for their assessments and decisions. Generative AI must not replace the expert judgment required to evaluate a manuscript's scientific quality, methodological soundness, or ethical compliance.
Concerns about undisclosed or inappropriate AI use will be assessed on the basis of available evidence, with an opportunity for authors to respond. AI-detection scores alone will not be treated as conclusive evidence of misconduct.
Confirmed violations may result in requests for clarification or revision, rejection, or appropriate post-publication action in accordance with the journal's Publication Ethics and Retraction and Withdrawal Policy.
