J-Dinamika: Jurnal Pengabdian Masyarakat recognizes that generative artificial intelligence (AI) and AI-assisted technologies can support academic writing, language editing, data processing, visualization, and the development of community service innovations. At the same time, their use must preserve academic integrity, transparency, originality, accountability, and the reliability of published information.

This policy establishes the principles governing the use of generative AI by authors, reviewers, editors, and other contributors involved in the publication process. It applies to manuscripts submitted to J-Dinamika, including articles reporting community service implementation, technology application, community empowerment, program evaluation, and interdisciplinary community engagement.

1. General Principles

The use of generative AI must comply with the following principles:

• Human accountability: Authors remain fully responsible for the accuracy, originality, integrity, and ethical compliance of their manuscripts, including content produced or modified with AI assistance.
• Transparency: Substantive use of generative AI must be disclosed in accordance with this policy.
• Verification: AI-generated information, references, factual claims, calculations, interpretations, and other outputs must be independently checked before inclusion in a manuscript.
• Originality and attribution: AI must not be used to plagiarize, reproduce copyrighted material improperly, fabricate sources, or misrepresent the contributions of others.
• Confidentiality and privacy: AI use must not compromise confidential information, personal data, intellectual property, or the rights and dignity of community members.
• Research and community integrity: AI must not be used to falsify community service activities, invent beneficiaries, manipulate evaluation results, or create misleading evidence of program implementation.

2. Permitted Uses of Generative AI

Authors may use generative AI and AI-assisted tools to support their work when the use is appropriate, transparent where required, and subject to human verification. Permitted applications may include:

• Language editing, grammar correction, spelling checks, and improvement of readability.
• Assistance with organizing ideas, outlining a manuscript, or improving the clarity of explanations.
• Translation and language refinement, provided that the meaning and technical accuracy of the original content are preserved.
• Assistance with programming, data processing, statistical workflows, or visualization, provided that the methods and outputs are verified by the authors.
• Support in developing educational materials, training resources, or technological solutions used in community service activities, subject to appropriate evaluation and ethical safeguards.
• Assistance with preparing tables, diagrams, or illustrations, provided that the materials do not misrepresent actual activities, data, results, or participants.

Permission to use AI does not imply acceptance of all AI-generated content. The editorial team may request clarification about how AI was used when necessary to assess the manuscript's originality, reliability, or compliance with this policy.

3. Disclosure Requirements for Authors

Authors must disclose the use of generative AI when it has contributed substantively to the development of manuscript content, the generation or transformation of text, the creation of figures or other content, data analysis, interpretation, or other activities relevant to the reported work.

Routine spelling correction, basic grammar checking, and similar conventional proofreading assistance that does not generate substantive content generally do not require a separate disclosure. When in doubt, authors should disclose the use to maintain transparency.

The disclosure should identify the AI tool or service used, its purpose, and the relevant activities in which it assisted. Where AI contributed to data processing, analytical procedures, or the generation of research-related outputs, authors should describe its role in the relevant Methods section and provide sufficient information to enable appropriate evaluation of the work.

Authors may use the following statement when applicable:

Authors should select and adapt the statement that accurately reflects their actual practices. The declaration must not be used to conceal substantive AI use or to imply that an AI tool independently verified the manuscript.

4. Prohibited Uses of Generative AI

J-Dinamika prohibits the use of generative AI to engage in or facilitate academic misconduct, including the following practices:

• Fabrication or falsification: Inventing community service activities, participants, beneficiary numbers, survey responses, interview quotations, measurements, evaluation results, photographs, or other evidence presented as real.
• Misrepresentation of implementation: Presenting an activity, technology, intervention, or community outcome as having been implemented or verified when it has not.
• Plagiarism and improper attribution: Submitting AI-generated material that misappropriates others' work, conceals the origin of ideas, or reproduces protected content without appropriate authorization or attribution.
• Fabricated references: Including nonexistent publications, inaccurate bibliographic information, or citations that do not support the associated claims.
• Misleading images or evidence: Generating or altering photographs, documentary images, or other evidence in ways that falsely represent actual community service activities, participants, or outcomes.
• Concealment of substantive AI use: Deliberately withholding a required disclosure or falsely describing how AI contributed to the manuscript.
• Improper authorship: Listing an AI system as an author or co-author, or using AI to misrepresent the contributions of human authors.

AI-generated content must not replace genuine implementation evidence, authentic community participation, or the authors' own critical evaluation of the results. Any use of AI in the preparation of illustrations, photographs, or other visual materials must preserve the authenticity of documentary evidence and comply with applicable copyright, consent, and privacy requirements.

5. AI and Community Data Protection

Authors must exercise particular care when using AI tools to process information obtained from community service activities. Such information may include personal data, health-related information, identifiable photographs, interview transcripts, institutional records, or other confidential materials.

Authors must not upload confidential, sensitive, personally identifiable, or restricted information to an AI service unless they have appropriate authorization and have assessed the service's data protection and confidentiality arrangements. Data should be anonymized or otherwise appropriately protected before being processed whenever applicable.

Authors remain responsible for obtaining any necessary permissions, informed consent, and ethical approvals for the collection, use, processing, and publication of information relating to community members. The use of AI does not remove these obligations.

6. Generative AI and Authorship

Generative AI systems cannot be listed as authors or co-authors of manuscripts submitted to J-Dinamika. Authorship is reserved for individuals who meet the journal's Authorship Criteria and can approve the final manuscript, accept responsibility for their contributions, and participate in resolving questions concerning the integrity of the work.

AI assistance does not automatically qualify an individual for authorship. Conversely, individuals who make qualifying intellectual contributions must not be omitted from the author list because some of their work was supported by AI tools.

Human authors remain responsible for all submitted material, including AI-assisted text, references, figures, code, analytical outputs, and interpretations. They must ensure that the final manuscript accurately represents the activities performed and the evidence obtained.

7. Use of AI by Reviewers and Editors

Reviewers and editors must protect the confidentiality of submitted manuscripts and all associated editorial communications. They must not upload or disclose unpublished manuscripts, review reports, author information, or confidential editorial materials to external AI services unless the journal has explicitly authorized the use and appropriate confidentiality and data protection safeguards are in place.

Reviewers must assess manuscripts independently and must not delegate the substantive evaluation or editorial judgment of a manuscript to generative AI. Any AI-assisted activity must not compromise the confidentiality, fairness, accuracy, or independence of peer review.

Editors remain responsible for editorial decisions and must not rely exclusively on AI-generated assessments, recommendations, or detection results when deciding whether to accept, revise, or reject a manuscript. Any suspected misuse of AI should be assessed carefully and fairly, with consideration of the available evidence and an opportunity for the authors to provide clarification where appropriate.

8. Editorial Assessment and Suspected Misconduct

The editorial team may request additional information about the use of AI when concerns arise regarding originality, fabricated references, data reliability, image authenticity, authorship, or compliance with disclosure requirements.

AI detection tools, where used, may support editorial assessment but must not be treated as conclusive evidence of misconduct on their own. Editorial decisions should be based on a fair assessment of the manuscript, relevant documentation, author explanations, and other available evidence.

Where a violation is established, the journal may request clarification or correction, require appropriate disclosure, suspend the editorial process, reject the manuscript, or take other proportionate action consistent with its publication ethics policies. For published articles, further action may include a correction, an editorial notice, or retraction when justified by the seriousness of the violation and its effect on the integrity of the published record.

9. Policy Compliance

By submitting a manuscript to J-Dinamika, authors confirm that their use of generative AI complies with this policy and that all required disclosures are accurate and complete. Authors must cooperate with reasonable editorial requests for clarification and remain accountable for the content and integrity of their submissions.

J-Dinamika may review and update this policy as generative AI technologies, scholarly publishing standards, and relevant ethical guidance evolve. Any revisions will be communicated through the journal's official website.

Related policies: Authorship Criteria; Conflict of Interest Policy; Publication Ethics and Malpractice Statement; Plagiarism and Similarity Policy; and Author Guidelines.