The Journal of Mathematical Theory and Computation (JMTC) recognises the increasing role of Artificial Intelligence (AI), machine learning systems, large language models (LLMs), and automated computational tools in modern scholarly research and scientific writing. The journal supports the responsible, transparent, and ethical use of such technologies when employed in a manner that enhances academic quality, reproducibility, and research efficiency without compromising originality, scientific integrity, or author accountability.
JMTC follows publication ethics principles and emerging international best practices aligned with standards adopted by leading scholarly publishers, indexing databases, and research integrity frameworks, including expectations commonly associated with Scopus, Web of Science, DOAJ, and COPE-aligned publishing standards.
Permissible Use of AI and Automated Tools
Authors may use AI-assisted or automated tools for limited purposes including:
- Language editing and grammar improvement
- Formatting assistance
- Reference organisation
- Code optimisation or debugging
- Data processing and computational support
- Visualisation assistance
- Literature organisation and analytical support
Such use must remain under full human supervision and intellectual control of the authors.
Author Responsibility and Accountability
Authors remain fully responsible and accountable for:
- The originality, accuracy, and integrity of all submitted content
- The correctness of mathematical proofs, computations, algorithms, analyses, and conclusions
- Verification of all statements, references, equations, and generated outputs
- Compliance with ethical publishing and authorship standards
AI systems or automated tools cannot be listed as authors, co-authors, or corresponding authors because they cannot assume responsibility for the scholarly work, approve final manuscripts, disclose conflicts of interest, or participate in ethical accountability.
Mandatory Disclosure Requirements
Authors must disclose the use of AI or automated tools if such technologies contributed materially to the preparation, analysis, computation, interpretation, or writing of the manuscript.
Where applicable, authors should include a statement within the manuscript specifying:
- The name of the AI system or automated tool used
- The purpose for which it was used
- The extent of its contribution to the work
Example disclosure statement:
“The authors used AI-assisted language editing tools during manuscript preparation for grammatical refinement and readability improvement. All mathematical analysis, theoretical development, verification, and final content review were conducted entirely by the authors.”
Failure to disclose substantial AI-assisted content generation or automated analytical contribution may constitute a breach of publication ethics.
Prohibited Uses
The following uses of AI or automated systems are considered unacceptable:
- Generation of fabricated data, references, mathematical results, proofs, or citations
- Submission of AI-generated content without human verification and intellectual contribution
- Manipulation or falsification of computational, numerical, or analytical findings
- Use of AI systems to generate peer-review reports fraudulently
- Automated paraphrasing intended to conceal plagiarism
- Use of AI in ways that compromise originality, reproducibility, transparency, or scientific integrity
Any misuse of AI tools that violates scholarly publishing ethics may result in manuscript rejection, retraction, notification of institutions, or additional editorial action.
AI in Peer Review and Editorial Processes
Reviewers and editors must maintain strict confidentiality regarding submitted manuscripts and may not upload unpublished manuscripts, figures, proofs, datasets, or supplementary materials into public AI systems or external automated platforms that could compromise confidentiality, intellectual property, or data security.
AI tools must not replace independent scholarly judgment in editorial decision-making or peer review evaluation.
Computational Reproducibility and Transparency
For manuscripts involving AI-based mathematical models, machine learning frameworks, computational algorithms, symbolic computation, or automated analytical systems, authors are strongly encouraged to provide:
- Sufficient methodological detail
- Model architecture or algorithmic framework
- Computational assumptions and limitations
- Reproducibility information
- Code and data availability statements where applicable
The journal reserves the right to request additional documentation or clarification regarding AI-assisted methodologies during editorial assessment or peer review.
Commitment to Ethical Innovation
JMTC supports responsible innovation and recognises the growing importance of AI and computational technologies within modern mathematical sciences. The journal encourages ethically conducted research involving artificial intelligence, computational mathematics, machine learning, and automated analytical systems, provided that such work maintains rigorous mathematical foundations, transparency, reproducibility, and full compliance with international standards of scholarly integrity and ethical publishing.