Generative AI Use Policy
Jurnal Elektronika dan Telekomunikasi (JET) recognizes that artificial intelligence (AI) and generative AI tools can support research, manuscript preparation, and scholarly communication. However, their use must preserve research integrity, originality, transparency, confidentiality, and human accountability.
This policy establishes requirements for authors, reviewers, editors, and other individuals involved in the publication process. Its purpose is to promote responsible use while ensuring that the scientific content published by JET remains accurate, verifiable, and ethically produced. This framework is explicitly based on the Committee on Publication Ethics (COPE) guidelines and the September 2025 STM Association Recommendations for AI Use in Manuscript Preparation.
1. Definition of AI Tools
For the purpose of this policy, AI tools refer to digital systems or platforms that apply artificial intelligence methods—such as machine learning (ML), natural language processing (NLP), or deep learning—to generate, transform, summarize, translate, or modify content based on user input. This includes generative text systems, writing assistants, translation programs, automated data visualization software, code optimization platforms, and AI-based citation managers. This policy applies across all interfaces, applications, and integrated services utilized during manuscript preparation.
2. Classification of AI Activities (STM Framework Alignment)
Following international scholarly standards, JET classifies AI manuscript activities into three regulatory categories:
2.1. Permitted Activities Exempt from Disclosure
- Language Refinement: Utilizing automated tools (e.g., standard spelling checkers, grammar correctors, and basic inline writing aids) to improve text clarity, tone, and formatting, provided the text was primarily composed by human authors.
2.2. Permitted Activities Requiring Mandatory Disclosure
- Substantive Drafting: Using AI to draft structural summaries, expand notes, or synthesize paragraphs.
- Manuscript Translation: Utilizing tools to translate the authors' original work into a secondary language for publication.
- Data Refinement and Formatting: Deploying AI to clean, structure, or format data presented in the text or supplementary files.
- Research Data Visualization: Using AI tools to generate graphs, charts, tables, or plots from original datasets.
- Source Code Presentation: Utilizing AI to refine, clean, or format the presentation of source code reported in the manuscript to improve readability without changing its baseline functionality.
- Reference Harvesting: Using AI engines to discover, identify, or organize external literature references.
- Illustrative Content: Creating non-data figures, basic conceptual schematics, or graphics used strictly for aesthetic or illustrative purposes.
2.3. Prohibited Activities (Misconduct)
- Data Fabrication: Presenting AI-generated text, datasets, values, spectral lines, or graphs as original empirical research results gathered from non-machine sources.
- Citation Hallucination: Including fabricated, AI-invented references that do not exist.
- Plagiarism and Misrepresentation: Utilizing AI to recycle text without attribution or presenting full AI-generated drafts as original human work.
JET does not enforce automated percentage thresholds for rejections. AI detection software serves strictly as an initial indicator; any suspected ethical infraction will be evaluated by human editors using qualitative evidence.
3. Authors’ Responsibilities
Authors are fully responsible for the content of their submitted manuscripts, including all materials assisted by AI. Authors must manually verify the accuracy of all text, ensure no copyright boundaries are infringed, audit data/code functionality, confirm that citations exist, and safeguard confidential data when inputting text into external engines. AI assistance does not transfer accountability away from the human authors.
4. Authorship and Generative AI
Generative AI tools cannot be listed as authors or co-authors of manuscripts submitted to JET. Authorship requires human intellectual contribution, approval of the final manuscript, and absolute accountability for the work.
5. Disclosure Requirements for Authors
Authors must disclose any applicable activities listed under Section 2.2 by utilizing the dedicated “Declaration of Generative AI Use” heading within the JET manuscript template.
- The declaration must specify the tool name, version, provider, and the exact scope of its contribution.
- If AI tools were used solely for basic language editing (Section 2.1), no statement is necessary.
Standard Declaration Format
“During the preparation of this work, the authors used [Name of Tool/Service, Version] to assist with [Specific Activity from Section 2.2, e.g., code formatting or data visualization]. The authors reviewed and verified the output and remain fully responsible for the accuracy, scientific content, and final version of the manuscript.”
6. Generative AI Use, Confidentiality, and Data Protection in Peer Review
All editors, reviewers, and journal staff must protect confidential information and remain human-accountable for all evaluation outcomes:
- Confidentiality: Reviewers and editors are strictly prohibited from uploading or disclosing confidential manuscripts, unpublished data, review reports, or internal editorial assets into public or unauthorized generative AI systems. The strict confidentiality of the peer-review pipeline must be maintained at all times.
- Preservation of Human Assessment: Generative AI tools must not replace the independent assessment of a reviewer or the core responsibility of an editor to evaluate a manuscript's scientific merit, validity, and originality.
- Misconduct Evaluation: Reviewers and editors must not rely solely on automated AI-detection scores to determine instances of malpractice. All suspected infractions must be thoroughly investigated and verified by human editors using physical evidence.
7. Handling Suspected Noncompliance
JET may investigate suspected violations of this policy in accordance with COPE guidelines. Depending on the severity of the case, the journal reserves the right to:
- Request raw datasets, execution logs, or clarifying framework information from the authors.
- Request text corrections or revisions before further evaluation.
- Reject the manuscript immediately if intentional data fabrication or hidden synthesis is found.
- Issue a formal correction or retraction notice for already published articles found to be in noncompliance.
- Impose temporary submission bans or notify the authors' home institutions.
8. Policy Review and Updates
This policy will be reviewed periodically by the Editorial Board to reflect evolving technological practices and changing international publishing guidelines.
Related Policies
This policy should be read together with JET’s other applicable policies, including:
- Publication Ethics and Research Integrity
- Peer Review Process
- Editorial Independence and Conflicts of Interest
- Editorial Decision Appeals
- Corrections, Retractions, and Article Removal
JET’s approach is informed by recognized publication ethics principles, including guidance from the Committee on Publication Ethics (COPE), alongside applicable research integrity standards and scholarly publishing practices.


