Generative AI Policies
Policy Statement
Researcher Academy Innovation Data Analysis (RAIDA) recognizes that generative artificial intelligence and AI-assisted technologies may support scholarly communication when used responsibly, transparently, and ethically. This policy provides guidance for authors, reviewers, and editors regarding acceptable and prohibited use of generative AI in manuscript preparation, peer review, editorial handling, and publication.
1. Purpose of the Policy
This policy ensures that the use of generative AI and AI-assisted technologies supports academic quality without compromising research integrity, authorship accountability, originality, confidentiality, transparency, data protection, and ethical responsibility. RAIDA supports responsible technological innovation while maintaining strict standards for scholarly contribution, publication ethics, peer-review integrity, and editorial independence.
2. Definition of Generative AI and AI-Assisted Technologies
Generative AI refers to artificial intelligence systems capable of producing, transforming, summarizing, translating, analyzing, or organizing content based on user prompts. This may include text, images, tables, computer code, statistical interpretation, summaries, references, visual materials, or other forms of academic content. AI-assisted technologies include tools for grammar correction, translation support, reference organization, coding assistance, data processing, and manuscript editing.
3. Use of Generative AI by Authors
Authors may use generative AI or AI-assisted technologies only as supporting tools in manuscript preparation. Acceptable uses may include improving language clarity, grammar, readability, structure, formatting, translation support, coding assistance, preliminary idea organization, and non-substantive editorial refinement.
Authors remain fully responsible for the accuracy, originality, validity, integrity, ethical compliance, and scholarly quality of all submitted and published content. AI-assisted output must be carefully reviewed, verified, corrected, edited, and approved by the authors before submission.
4. AI Tools Cannot Be Listed as Authors
Generative AI tools, large language models, chatbots, software systems, or any non-human technologies cannot be listed as authors or co-authors. Authorship requires human accountability, responsibility for research integrity, approval of the final manuscript, disclosure of conflicts of interest, response to reviewer comments, and ethical responsibility. Since AI tools cannot assume these responsibilities, they do not meet authorship criteria.
5. Mandatory Disclosure of AI Use
Authors must disclose the use of generative AI or AI-assisted technologies when such tools are used beyond basic spelling, grammar, formatting, or reference management. Disclosure is required when AI tools contribute to text generation, translation, summarization, data interpretation support, literature mapping, coding assistance, figure preparation, image generation, or other substantive elements of the manuscript.
Suggested Disclosure Statement:
During the preparation of this manuscript, the author(s) used [name of AI tool/service] for [specific purpose, such as language editing, translation support, idea organization, coding assistance, or readability improvement]. After using this tool/service, the author(s) reviewed, edited, verified, and approved the content. The author(s) take full responsibility for the final version of the manuscript.
6. Permitted Uses
- Language editing, grammar correction, and readability improvement.
- Translation support, provided that final meaning is verified.
- Formatting assistance and non-substantive editorial polishing.
- Assistance with coding, data cleaning, or technical workflow, with validation.
- Preliminary literature organization, with independent source verification.
- Visual or graphical assistance, only when disclosed and not misleading.
7. Prohibited Uses
- Fabricating data, findings, citations, quotations, or references.
- Submitting AI-generated text without verification and disclosure.
- Manipulating images, figures, tables, datasets, or results.
- Generating false references or unsupported theoretical claims.
- Obscuring plagiarism, duplicate publication, or unethical authorship.
- Replacing author responsibility for research design and interpretation.
- Using hidden prompts or prompt-injection techniques to manipulate review.
8. AI-Generated Images, Figures, and Visual Materials
The use of AI-generated or AI-modified images, figures, graphical abstracts, diagrams, illustrations, or visual materials must be disclosed clearly. Authors must ensure that such materials do not misrepresent data, create false evidence, alter research results, violate copyright, infringe privacy, or mislead readers.
9. Verification of Data, Sources, and References
Authors are responsible for verifying all AI-assisted outputs, including facts, citations, references, quotations, equations, tables, data summaries, statistical interpretations, theoretical claims, and methodological statements. AI-generated references must not be included unless independently verified against reliable bibliographic databases, publisher websites, DOI records, official repositories, or other authoritative sources.
10. Use of AI by Reviewers
Reviewers must treat manuscripts, supplementary files, reviewer reports, author responses, editorial correspondence, and unpublished research materials as confidential documents. Reviewers must not upload submitted manuscripts or review materials into public or third-party generative AI tools. Scientific assessment, novelty evaluation, methodology judgment, and review recommendations must be based on expert human judgment.
11. Use of AI by Editors
Editors must protect the confidentiality of manuscripts, author information, reviewer identities, reviewer reports, editorial correspondence, decision letters, and unpublished research materials. Editorial decisions must be made by human editors based on journal scope, reviewer recommendations, ethical assessment, originality, methodological rigor, and scholarly contribution.
12. Confidentiality and Data Protection
Manuscripts under review are confidential documents. Authors, reviewers, and editors must ensure that the use of AI tools does not violate confidentiality, intellectual property rights, personal data protection, unpublished research ownership, institutional policies, or legal obligations.
13. Editorial Screening and AI-Related Concerns
RAIDA may conduct editorial checks for originality, similarity, citation reliability, image integrity, ethical compliance, data validity, and possible misuse of AI-generated content. The journal does not rely solely on automated AI-detection tools because such tools may produce uncertain or inaccurate results. Editorial assessment considers transparency, coherence, verifiability, ethical compliance, author disclosure, and evidence of fabrication or manipulation.
14. Failure to Disclose or Misuse of AI
Failure to disclose substantial AI use, submission of unverified AI-generated content, fabrication of references or data, misuse of AI-generated images, manipulation of peer review, or violation of confidentiality may result in editorial action. Depending on severity, actions may include clarification request, revision, rejection, correction, expression of concern, retraction, institutional notification, or other measures consistent with publication ethics standards.
15. Author Responsibility Statement
By submitting a manuscript to RAIDA, authors confirm that they are fully responsible for the accuracy, originality, integrity, validity, transparency, and ethical compliance of the submitted work. Authors also confirm that any use of generative AI or AI-assisted technologies has been properly disclosed, critically reviewed, verified, edited, and approved by all authors before submission.
Published By
Institution: PT. Inovasi Analisis Data
Address: Jl. Mulawarman Selatan Raya I, Jabungan, Banyumanik, Semarang 50266, Indonesia
Email: editor@analysisdata.co.id


