Artificial Intelligence (AI) Policies

E-Jurnal Matematika (MTK)

E-Jurnal Matematika (MTK) recognizes the increasing role of Artificial Intelligence (AI), including Generative Artificial Intelligence (Generative AI), Large Language Models (LLMs), and AI-assisted computational tools, in scientific research and scholarly communication.

E-Jurnal Matematika (MTK) supports the responsible, transparent, and ethical use of AI as an auxiliary tool, while maintaining that rigorous mathematical reasoning, formal deductive derivation, original scholarly judgment, and academic accountability must remain fundamentally human responsibilities.

This policy applies to all authors, editors, and peer reviewers involved in the submission, evaluation, peer review, and publication processes of E-Jurnal Matematika (MTK).

General Principles

The use of AI in mathematical research and publication must adhere to the following principles:

  1. Human Responsibility: AI must supplement rather than replace human intellectual contribution, mathematical competence, rigorous deductive logic, and professional accountability.
  2. Transparency: Any material use of Generative AI or AI-assisted technologies in manuscript preparation, symbolic manipulation, algorithm development, or data visualization must be explicitly disclosed.
  3. Mathematical Accuracy and Rigor: Users remain entirely responsible for verifying the correctness, validity, logical soundness of proofs, computational code integrity, empirical/simulation data, and citations.
  4. Confidentiality: Unpublished manuscripts, novel mathematical formulations, unproven conjectures, and proprietary data must never be entered into public AI platforms where data security and intellectual property protection cannot be guaranteed.
  5. Research Integrity: AI technologies must not be used to fabricate simulation data, create hallucinated mathematical proofs, manipulate computational benchmarks, or falsify research findings.
  6. Human Oversight: All AI-assisted outputs must undergo thorough, critical review, algebraic validation, and substantive manual verification by the responsible researchers.

Use of AI by Authors

1. Permitted Uses

Subject to critical human oversight and mandatory disclosure where required, AI-assisted technologies may be used for:

  • Language refinement, grammatical correction, and readability enhancement of text originally drafted by the authors;
  • Copy-editing and formatting assistance (e.g., standard LaTeX macro organization, syntax structuring);
  • Preliminary exploration and brainstorming during the conceptual phase of a study;
  • Literature categorization and identification of relevant search keywords;
  • Assistance with coding and algorithmic implementation (e.g., MATLAB, Python, R, Maple, Mathematica scripts), provided the numerical schemes and analytical properties are validated by the authors;
  • Generation of conceptual diagrams, algorithmic flowcharts, graphical abstracts, or visualization plots derived strictly from authentic analytical/numerical results verified by the authors.

2. Prohibited Uses

Generative AI must never substitute the core intellectual and analytical contributions of the authors. Authors are strictly prohibited from using Generative AI to:

  • Generate substantive portions of the manuscript as a replacement for original scholarly writing;
  • Produce automated mathematical derivations, formal proofs (theorems, lemmas, corollaries), or analytical models without rigorous, independent verification;
  • Fabricate or generate artificial numerical or empirical data presented as authentic computational simulations or experimental findings;
  • Fabricate, alter, or manipulate figures, phase portraits, convergence profiles, or graphical evidence in ways that mischaracterize mathematical behaviors;
  • Generate fictitious citations, invalid DOIs, or fabricated references (hallucinated literature);
  • Cite sources that the authors have not personally read, verified, and cross-referenced;
  • Conceal plagiarism or incorporate others’ intellectual work, proofs, or algorithms without appropriate attribution;
  • Compromise the originality, logical validity, reproducibility, or integrity of the mathematical research.

AI and Authorship Criteria

AI systems, Generative AI models, LLMs, chatbots, or algorithmic software cannot be listed as authors or co-authors of manuscripts submitted to E-Jurnal Matematika (MTK).

Authorship requires the ability to:

  • Make substantial intellectual contributions to the conception, formal mathematical development, or computational implementation;
  • Assume complete accountability for the accuracy, soundness, and integrity of the work;
  • Approve the final version of the manuscript for submission and publication;
  • Address formal scientific queries regarding proofs, methods, or reproducibility;
  • Comply with legal requirements concerning copyright, licensing, and ethical declarations.

These responsibilities can only be fulfilled by human researchers. Authors bear ultimate accountability for all aspects of their submitted work.

Disclosure of AI Use

E-Jurnal Matematika (MTK) requires authors to transparently declare any material use of Generative AI or AI-assisted technologies during research or manuscript preparation.

The declaration must specify:

  1. The formal name and version of the AI platform/tool;
  2. The exact role, scope, and section of the manuscript where it was applied;
  3. The validation procedures conducted by the authors to ensure correctness.

The disclosure must appear in a dedicated section immediately preceding the References:

Declaration of Generative AI and AI-Assisted Technologies
“During the preparation of this manuscript, the author(s) utilized [NAME AND VERSION OF AI TOOL] for [SPECIFIC PURPOSE, e.g., code debugging, language refinement, flowchart visualization]. The author(s) subsequently reviewed, validated, and edited all generated material, ensuring mathematical rigor and logical consistency, and accept full responsibility for the content, originality, and integrity of the manuscript.”

Note: Standard spelling/grammar checking tools and basic symbolic engines (e.g., standard calculators, native LaTeX compilers) that do not incorporate Generative AI do not require explicit declaration.

Accuracy of References and Mathematical Citations

Authors are solely responsible for the authenticity and bibliographic accuracy of all citations. AI-suggested citations must never be included without primary-source verification.

Authors must independently verify that:

  • The cited paper, monograph, or book physically exists;
  • Author names, journal titles, volume/issue numbers, pagination, publication year, and DOI links are entirely accurate;
  • The referenced theorem, lemma, proposition, or definition appears in the cited text and directly supports the contextual argument.

Fabrication of references constitutes serious scientific misconduct.

Computational Data, Code, and Reproducibility

For manuscripts involving applied mathematics, statistics, optimization, numerical analysis, or mathematical modeling:

  • Any incorporation of machine learning algorithms or AI models as part of the research methodology must be documented with sufficient technical detail (model architecture, hyperparameters, training datasets, optimization loss, and validation protocols) to ensure full reproducibility.
  • Underlying computational code, parameter values, and implementation scripts should be made accessible where appropriate to verify that reported numerical results and phase diagrams are authentic.

Confidentiality and Intellectual Property

Authors must exercise extreme caution when interacting with third-party web-based AI platforms. Unpublished mathematical frameworks, novel conjectures, proprietary algorithms, and unpatented proofs must not be uploaded to external AI services where data retention, training scraping, or non-disclosure cannot be legally guaranteed.

Use of AI by Peer Reviewers

Manuscripts submitted to E-Jurnal Matematika (MTK) are privileged, strictly confidential scholarly documents.

  • Peer reviewers must not upload manuscripts, supplementary files, mathematical models, or source code to external, publicly accessible Generative AI tools or LLMs.
  • Reviewers must not use AI to evaluate the validity of proofs, assess originality, verify technical correctness, or synthesize peer-review reports.
  • A peer-review report must reflect the reviewer’s independent expertise, analytical scrutiny, and mathematical judgment.
  • Reviewers may use AI-assisted tools exclusively for stylistic refinement or copy-editing of their own written remarks, provided that confidentiality is uncompromised and no substantive text from the manuscript is processed.

Use of AI by Editors

  • Editors must uphold the confidentiality of all submitted materials and are strictly prohibited from uploading manuscripts into external AI systems.
  • Generative AI must never replace human editorial judgment in assessing scientific rigor, selecting qualified reviewers, interpreting reviewer recommendations, or rendering editorial decisions (accept, revise, or reject).
  • All formal decisions remain solely within the purview of the human editorial board.

Non-Compliance and Editorial Actions

Failure to adhere to this AI policy constitutes a violation of academic and publication ethics. In the event of suspected or confirmed non-compliance, the Editorial Board of E-Jurnal Matematika (MTK) reserves the right to:

  1. Demand formal clarification, computational log files, and proof verifications;
  2. Suspend review or issue an immediate desk rejection;
  3. Initiate an ethical inquiry in line with the Committee on Publication Ethics (COPE) guidelines;
  4. Take post-publication action, including issuing an Expression of Concern, formal Correction, or Retraction.

Policy Updates

Artificial intelligence tools and ethical publishing standards continue to evolve. E-Jurnal Matematika (MTK) reserves the right to amend and update this policy periodically to align with emerging technologies, COPE guidance, and international best practices in mathematical publishing.

This policy has been established in alignment with international guidelines on publication ethics, including the Committee on Publication Ethics (COPE), Taylor & Francis, and Emerald Publishing.