Generative AI Policy

Jurnal Janitra Informatika dan Sistem Informasi (Janitra) recognizes the growing role of generative artificial intelligence (Generative AI) and AI-assisted technologies in scientific research, software development, data analysis, and scholarly communication. The journal acknowledges that these technologies may support manuscript preparation and research activities when used responsibly, transparently, and under appropriate human supervision.

However, generative AI tools may produce inaccurate information, fabricated references, biased interpretations, insecure code, or misleading scientific content. Their use must therefore not compromise originality, methodological rigor, research integrity, reproducibility, or the reliability of published findings.

This policy is informed by the principles of the Committee on Publication Ethics (COPE) and establishes expectations for authors, editors, and reviewers concerning the ethical use of generative AI. It complements Janitra's authorship, plagiarism, peer-review, and publication ethics policies.

1. General Principles and Human Accountability

Generative AI and AI-assisted technologies may support scholarly activities but must not replace human intellectual contributions, independent scientific judgment, critical thinking, or ethical responsibility. All substantive research decisions, interpretations, and conclusions must remain under the responsibility of the human researchers.

Authors are fully responsible for the accuracy, originality, validity, and integrity of their manuscripts, including any text, code, analyses, figures, or other materials generated or modified with AI assistance. Authors must critically review, verify, and, where necessary, correct AI-assisted outputs.

AI tools, large language models, and other automated systems cannot be listed as authors or co-authors. Such tools cannot approve a manuscript, take responsibility for research findings, disclose conflicts of interest, or fulfill copyright and publication ethics obligations.

All listed human authors must be able to explain and defend the research methods, data, results, and conclusions presented in their manuscripts, regardless of the extent of AI assistance.

2. Permitted Uses of Generative AI

Janitra permits the responsible use of generative AI tools when their use is consistent with scientific integrity, appropriate disclosure, and the journal's editorial requirements.

Permissible applications may include:

• Language and Writing Assistance: Improving readability, grammar, sentence structure, and academic expression without changing the intended scientific meaning.
• Brainstorming and Manuscript Organization: Supporting preliminary idea exploration, preparation of outlines, and organization of manuscript sections.
• Drafting and Summarization: Assisting with text preparation, paraphrasing, or literature summarization, provided that authors verify the content and consult the original scholarly sources.
• Programming and Software Development: Assisting with code generation, debugging, documentation, testing, and software implementation, subject to human review and validation.
• Data Analysis and Computational Research: Supporting data processing, statistical analysis, computational experiments, and other research-related tasks when the procedures are scientifically justified and verified.
• Visualization and Illustrations: Assisting with diagrams, conceptual illustrations, and graphical presentations, provided that their origin is disclosed where required and that they do not misrepresent research evidence.

AI-generated or AI-assisted materials must be examined for factual correctness, relevance, methodological validity, and potential intellectual property concerns. Routine non-generative spelling, grammar, or formatting tools do not require a separate AI declaration.

3. Transparency and AI Use Declaration

Authors must disclose substantive use of generative AI or AI-assisted technologies in manuscript preparation or research activities. Such disclosures support transparency and allow editors, reviewers, and readers to understand the role of AI in the reported work.

The disclosure should specify:

• The name of the AI tool, its provider, and its model or version where available.
• The specific purposes for which the tool was used.
• The manuscript sections or research activities involving AI assistance.
• The extent of AI involvement and the verification performed by the authors.

3.1. Declaration for Manuscript Preparation

When generative AI is used to produce or substantively revise manuscript text, authors must include a declaration under the heading "Declaration of Generative AI and AI-Assisted Technologies" before the References section.

3.2. Disclosure of AI-Assisted Research Methods

When generative AI contributes to research design, data processing, software development, experimentation, analysis, or visualization, authors must describe its use in the Methods section or another appropriate methodological section.

The description should include the role of the AI tool, relevant model information, procedures, configurations, and validation methods, where these details are necessary to evaluate the reliability or reproducibility of the research.

A general AI use declaration does not replace the need to document AI-assisted research procedures with sufficient methodological detail. Authors who did not use generative AI are not required to include an AI declaration.

4. Research Integrity, Verification, and Limitations

Generative AI systems may produce convincing but incorrect outputs, including inaccurate scientific claims, fabricated citations, biased interpretations, and unreliable computational results. Their limitations must be considered throughout manuscript preparation and research activities.

Authors must observe the following requirements:

• Accuracy and Factual Verification: Verify all AI-assisted scientific claims, interpretations, calculations, and factual information against reliable evidence.
• Reference Verification: Ensure that cited sources exist, are accurately represented, and support the claims made. Fabricated references are prohibited.
• Originality and Plagiarism Prevention: Avoid unattributed copying, inappropriate text reuse, and infringement of intellectual property rights.
• Data and Research Integrity: Do not fabricate or falsify research data, experimental results, statistical outcomes, or other scientific evidence.
• Computational Validation: Review AI-generated code for correctness, security, methodological suitability, and compliance with research requirements.
• Research Reproducibility: Describe relevant AI-assisted procedures, datasets, model settings, evaluation methods, and experimental conditions sufficiently to support scientific scrutiny.
• Bias and Limitations: Consider potential biases, incomplete knowledge, contextual misunderstandings, and other limitations that may affect findings or interpretations.
• Confidentiality and Privacy: Protect personal data, confidential research records, unpublished materials, and restricted datasets when interacting with external AI services.

AI-generated content must not be presented as independently verified scientific evidence. Where AI-generated images, synthetic data, or simulated outputs form part of the research, their origin, purpose, and limitations must be clearly explained.

5. Responsibilities of Editors and Reviewers

Editors and reviewers must maintain the confidentiality, impartiality, and integrity of the manuscript evaluation process. Submitted manuscripts, unpublished research data, reviewer comments, and editorial correspondence must be treated as confidential information.

Editors and reviewers must not upload confidential manuscript content to publicly accessible generative AI services without appropriate authorization and safeguards protecting confidentiality, intellectual property, and personal data.

Generative AI must not replace the independent scientific judgment of peer reviewers or the editorial decision-making responsibilities of editors. Review recommendations and publication decisions must remain under human accountability.

Any permitted AI assistance in editorial or review activities must be appropriately disclosed to the responsible editor and must comply with the journal's confidentiality requirements.

Editors may request clarification regarding AI-assisted content when concerns arise. Automated AI-detection results alone should not be treated as conclusive evidence of inappropriate AI use or publication misconduct.

6. Non-Compliance and Editorial Actions

Failure to comply with this policy may raise concerns regarding transparency, originality, authorship, confidentiality, or research integrity. Suspected violations will be evaluated according to their nature, seriousness, and available evidence.

Depending on the findings, appropriate editorial actions may include:

• Requesting clarification or additional information regarding AI use.
• Requesting a complete AI use declaration or methodological explanation.
• Requiring manuscript revisions, additional verification, or supporting documentation.
• Rejecting a manuscript when serious research or publication ethics violations are substantiated.
• Issuing a correction or clarification when problems are identified after publication.
• Issuing an expression of concern or retraction when warranted by serious integrity concerns.

Editorial actions should be proportionate to the identified violation. Authors should ordinarily be given an opportunity to provide explanations or relevant evidence before a final adverse determination is made.

Undisclosed AI assistance does not automatically establish plagiarism, fabrication, or other serious misconduct. Its significance should be evaluated according to the extent of AI involvement and its potential impact on the reliability of the scholarly record.

7. Policy Review and Further Information

Janitra recognizes that generative AI technologies, their capabilities, and their applications in scientific research continue to evolve. This policy may be periodically reviewed and updated to reflect developments in AI, publication ethics, and scholarly communication standards.

Authors, reviewers, and editors are encouraged to consult the journal's publication ethics, authorship, and manuscript preparation policies, together with relevant COPE guidance, when using AI-assisted technologies.