Kebijakan Ai Generatif

Generative Artificial Intelligence (AI) Policy

Effective from: August 2026

Mathematical and Data Analytics recognizes that generative artificial intelligence (Generative AI) and AI-assisted technologies may provide valuable support in scholarly communication, research preparation, and publishing activities. However, the use of these technologies must follow principles of transparency, accountability, research integrity, confidentiality, and meaningful human oversight.

This policy applies to authors, editors, editorial staff, and peer reviewers involved in the publication process of Mathematical and Data Analytics. The purpose of this policy is to ensure that the use of AI technologies does not compromise scientific integrity, originality, intellectual responsibility, confidentiality, or ethical standards in academic publishing.

  1. Use of Generative AI by Authors

Authors may use generative AI or AI-assisted technologies as supporting tools during manuscript preparation. Acceptable uses include:

  • improving grammar, spelling, and academic language;
  • enhancing readability and clarity;
  • assisting translation between languages;
  • improving manuscript organization and structure; and
  • supporting non-substantive editing processes.

The use of AI tools must not replace the authors’ intellectual contributions, scientific interpretation, critical thinking, methodological decisions, or responsibility for the research findings.

Authors remain fully responsible for the accuracy, originality, validity, and integrity of all submitted content.

Prohibited Uses of Generative AI

Authors must not use generative AI to:

  • fabricate, generate, or alter research data;
  • create false, misleading, or unsupported scientific findings;
  • produce inaccurate, unverifiable, or fabricated references;
  • manipulate scientific images, figures, tables, or research documentation;
  • conceal plagiarism or inappropriate text reuse;
  • generate scientific conclusions without author verification; or
  • replace independent scientific analysis and interpretation.

All AI-generated content must be carefully reviewed, verified, and critically evaluated by the authors before submission.

AI and Authorship

Generative AI systems, including chatbots and large language models, cannot be listed as authors or co-authors of manuscripts submitted to Mathematical and Data Analytics.

AI systems cannot:

  • assume responsibility for published research;
  • approve the final manuscript;
  • declare conflicts of interest;
  • transfer copyright ownership; or
  • respond to questions regarding research integrity.

Only individuals who meet the journal’s authorship requirements may be listed as authors.

Disclosure of Generative AI Use by Authors

Authors who use generative AI or AI-assisted technologies during manuscript preparation must disclose this use transparently.

The disclosure must include:

  • the name and version of the AI tool used;
  • the purpose of its use;
  • the manuscript section affected by AI assistance; and
  • the verification, modification, and supervision performed by the authors.

The disclosure must be placed before the References section under the heading:

Declaration of Generative AI Use

Example:

Declaration of Generative AI Use:
During the preparation of this manuscript, the author(s) used [name and version of AI tool] for [specific purpose]. The author(s) subsequently reviewed, verified, and edited all AI-assisted content and take full responsibility for the accuracy, originality, integrity, and final content of the manuscript.

If no generative AI tools were used:

Declaration of Generative AI Use:
The author(s) declare that no generative artificial intelligence tools were used in the preparation, analysis, writing, or production of this manuscript.

The use of conventional spelling checkers, basic grammar correction software, and reference management applications without generative AI functions does not require disclosure.

AI Used as Part of Research Methodology

When AI technologies are used as part of the research methodology, including but not limited to:

  • machine learning analysis;
  • statistical modelling;
  • prediction algorithms;
  • classification systems;
  • image processing;
  • natural language processing;
  • synthetic data generation; or
  • computational simulations,

authors must provide a complete description in the Methods section.

The description should include:

  • AI model or software name and version;
  • data sources and characteristics;
  • parameters or configurations;
  • prompts or procedures when applicable;
  • validation and evaluation methods;
  • human oversight procedures;
  • reproducibility information; and
  • limitations associated with AI implementation.
  1. Use of Generative AI by Editors and Editorial Staff

Editors and editorial staff of Mathematical and Data Analytics must maintain strict confidentiality regarding all submitted manuscripts, reviewer reports, author information, research data, and editorial communications.

Unpublished manuscripts or confidential materials must not be uploaded to publicly accessible generative AI platforms.

Confidential materials include:

  • submitted manuscripts;
  • figures and tables;
  • supplementary materials;
  • reviewer reports;
  • editorial correspondence;
  • research data; and
  • personally identifiable information.

Editorial Restrictions on AI Use

Editors must not use generative AI systems to:

  • make decisions regarding manuscript acceptance or rejection;
  • replace editorial evaluation of scientific quality;
  • determine research integrity issues without human assessment;
  • generate final editorial decisions;
  • identify authors or reviewers in anonymous peer review; or
  • replace professional editorial judgment.

AI-assisted tools may only be used for limited administrative purposes when appropriate safeguards are available, such as:

  • manuscript formatting checks;
  • metadata verification;
  • workflow management; or
  • technical screening support.

Final responsibility for every editorial decision remains with the assigned human editor.

Editorial Disclosure of AI Use

If AI-assisted technology is materially used during manuscript processing, the journal will disclose this information to relevant authors.

The disclosure should describe:

  • the type of AI technology used;
  • its purpose;
  • the extent of its application; and
  • the level of human supervision involved.

Mathematical and Data Analytics does not use publicly available generative AI systems to make editorial decisions.

  1. Use of Generative AI by Peer Reviewers

Peer review materials are confidential documents. Reviewers must not upload, copy, or submit any part of a manuscript into publicly accessible generative AI systems.

This includes:

  • manuscript text;
  • abstracts;
  • tables and figures;
  • supplementary files;
  • research datasets;
  • reviewer forms;
  • author identities; and
  • editorial correspondence.

Reviewers Must Not Use AI To:

  • summarize confidential manuscripts;
  • evaluate research quality or novelty;
  • generate peer-review reports;
  • recommend acceptance, revision, or rejection;
  • identify authors in anonymous review processes; or
  • replace independent expert evaluation.

Peer-review reports must represent the reviewer’s own scientific assessment and professional judgment.

Unauthorized use of AI during peer review may constitute a breach of confidentiality and publication ethics.

The journal may take appropriate action, including rejection of the review report or removal of the reviewer from the journal reviewer database.

  1. Human Editorial Decision-Making

All editorial decisions at Mathematical and Data Analytics are made exclusively by qualified human editors.

AI systems shall not replace human judgment in decisions concerning:

  • manuscript screening;
  • reviewer selection;
  • revision evaluation;
  • acceptance;
  • rejection;
  • corrections;
  • expressions of concern; or
  • article retraction.

AI tools may support administrative processes but cannot assume ethical responsibility or editorial authority.

The Editor-in-Chief maintains final responsibility for all editorial decisions.

  1. AI Detection Tools

AI detection systems may produce inaccurate or biased results. Therefore, AI detection scores shall not be considered definitive evidence of inappropriate AI use.

When undisclosed or inappropriate AI use is suspected, the journal will conduct a human-led investigation.

Authors may be requested to provide:

  • clarification regarding AI usage;
  • manuscript development history;
  • original research materials;
  • analytical procedures; or
  • supporting documentation.

All assessments will be conducted fairly and transparently.

  1. Violations and Editorial Actions

Failure to disclose AI use may result in requests for clarification, revision, or additional documentation.

Serious violations, including:

  • fabricated research data;
  • manipulated images or results;
  • false references;
  • plagiarism;
  • misleading AI-generated content; or
  • confidentiality breaches,

may result in:

  • manuscript rejection;
  • suspension of editorial processing;
  • correction or retraction of published articles;
  • removal of reviewers from the reviewer database;
  • notification to relevant institutions; or
  • other actions consistent with publication ethics standards.

All suspected violations will be assessed by human editors based on the severity and circumstances of each case.

  1. Policy References

This policy is developed based on internationally recognized publication ethics guidelines, including:

Mathematical and Data Analytics reserves the right to update this policy periodically to reflect advances in artificial intelligence technology and evolving international standards in scholarly publishing.