Jurnal Teknologi dan Manajemen (JTM) permits the responsible use of generative artificial intelligence (AI) and AI-assisted technologies in research and scholarly writing. These tools may assist human work, but they cannot replace the intellectual contribution, critical judgment, or accountability of authors, reviewers, and editors.
This policy applies to manuscripts submitted to JTM, the peer-review process, and editorial work. It supplements JTM's publication ethics, authorship, confidentiality, and research integrity policies.
1. Responsibilities of Authors
Authors may use AI tools to improve language and readability, organize text, explore literature, or assist with coding and preliminary analysis. Authors must review and verify all resulting content before submission.
Authors remain responsible for the entire manuscript, including the accuracy of facts, calculations, equations, quotations, citations, and interpretations. They must check references against the original sources. AI-generated references that do not exist, misidentify a publication, or fail to support the claim made in the manuscript are unacceptable.
AI tools must not be listed as authors or co-authors. Only people can approve the final manuscript, take responsibility for its content, and respond to questions about the research.
2. Disclosure of AI Use
Authors must disclose substantive use of generative AI in preparing the manuscript. This includes AI assistance in drafting or substantially rewriting text, producing analytical code, interpreting results, or creating conceptual figures. Routine spelling and grammar correction that does not change the manuscript's scholarly content does not require a declaration.
Place the following statement before the References section and complete the bracketed details:
Declaration of Generative AI Use
During the preparation of this manuscript, the authors used [TOOL OR SERVICE NAME] for [SPECIFIC PURPOSE]. The authors reviewed, verified, and edited the resulting content and take full responsibility for the accuracy, originality, integrity, and final content of the manuscript.
A declaration does not replace the methodological reporting required when AI is part of the research itself.
3. AI as a Research Method
When AI or machine learning is used to conduct the research, authors must describe it in the Methods section with enough detail to allow readers to evaluate the work. Depending on the study, this may include the model or software and its version; data sources and preprocessing; training, validation, and test procedures; model settings; performance measures; and comparison methods.
For engineering studies, authors should explain how AI-generated predictions or analyses were checked against relevant experimental results, simulations, or established technical principles. For management studies, authors should explain how AI-assisted classification, forecasting, text analysis, or decision models were validated and how limitations or bias were assessed. Where applicable and permitted, authors are encouraged to make the supporting data and code available.
4. Research Data, Figures, and Confidential Information
AI must not be used to fabricate or misrepresent observations, survey responses, interviews, experimental measurements, financial records, simulation results, photographs, or other research evidence. A visualization produced with AI assistance must accurately represent genuine underlying data.
Authors may use AI to help create conceptual diagrams or explanatory illustrations, provided that they disclose substantive use and verify the figure's accuracy and originality.
Before entering material into an AI service, authors must protect personal data, unpublished research, and confidential organizational or industrial information. This is particularly relevant to JTM submissions involving employees, business processes, customers, operational records, or proprietary technology. Authors remain responsible for meeting applicable consent, confidentiality, copyright, and research ethics requirements.
5. Use of AI by Reviewers and Editors
Submitted manuscripts and peer-review materials are confidential. Reviewers and editors must not upload a manuscript, its figures or tables, unpublished data, or substantial excerpts to a public or non-private generative AI service.
Reviewers may use AI for limited supporting tasks that do not disclose confidential manuscript content, such as improving the language of a review they have written. The assessment of originality, methods, results, and contribution must be their own. Reviewers remain responsible for every comment and recommendation they submit.
Editors may use AI for limited administrative support without disclosing confidential material. AI must not make editorial decisions. Under JTM's peer-review policy, the final decision remains the responsibility of the Editor-in-Chief in consultation with the Editorial Board.
6. Suspected Violations
Undisclosed substantive AI use, fabricated references or data, misleading AI-generated content, and breaches of manuscript confidentiality may be examined under JTM's publication ethics procedures. The editorial team may request an explanation or supporting material from those involved. Depending on the evidence and the stage of publication, appropriate action may include revision, rejection, correction, or retraction. The use of an AI-detection score alone is not sufficient evidence of a violation.
JTM may review this policy as scholarly practices and AI technologies change.
