AI Policy
AI Policy (Use of Artificial Intelligence)
1. Use of AI in Manuscript Preparation
Authors may use AI tools (e.g., large language models, grammar/writing assistants) to support tasks such as language editing, grammar and style checking, translation, or improving readability.
AI tools must never be listed as an author or co-author. Authorship requires the capacity to take public responsibility for the work and provide legally binding consent, which an AI tool cannot do. Only human contributors meeting standard authorship criteria (substantial contribution, drafting/revision, final approval, accountability) may be listed as authors.
Authors must disclose any use of AI tools that materially contributed to the manuscript's content, analysis, code, or writing (beyond basic spell-check/grammar correction) in the Methods or Acknowledgments section. This disclosure should name the specific tool(s) used and describe their role (e.g., "ChatGPT (OpenAI) was used to improve the clarity of the Discussion section; all scientific content and interpretations remain the authors' own").
Authors remain fully and solely responsible for the accuracy, originality, integrity, and legality of the entire manuscript, including any portions produced with AI assistance. This includes responsibility for fabricated references, factual inaccuracies ("hallucinations"), or inadvertent plagiarism that may result from AI-generated text.
AI tools must not be used to fabricate, falsify, or manipulate data, results, or images.
2. Use of AI in Peer Review and Editorial Handling
Reviewers and editors must not upload confidential manuscript content — including abstracts, full text, or figures — to public or third-party AI tools, as doing so may breach the confidentiality owed to authors.
AI tools may not be used as a substitute for genuine, independent expert judgment during peer review.
Editors may use AI-assisted tools for administrative or supportive tasks (e.g., initial plagiarism/similarity screening, formatting checks), provided such tools do not replace substantive editorial judgment and do not compromise manuscript confidentiality.
3. Manuscripts Reporting AI/ML Research
Given the journal's core scope, many submissions will themselves involve the development, evaluation, or application of AI/ML systems. For such submissions:
- Authors must provide sufficient methodological detail — including data sources and provenance, preprocessing steps, model architecture, training procedures, hyperparameters, and evaluation metrics — to support independent scrutiny and, where feasible, reproducibility.
- Where proprietary or commercially sensitive models/data are used and full technical disclosure is not possible, authors must clearly state this limitation and provide as much detail as legally and commercially permissible.
- Authors reporting AI systems applied within a real organizational or industry context should describe the deployment context, any human oversight involved, and known limitations or failure modes observed.
- Ethical considerations relevant to the deployed AI system (e.g., bias, fairness, data privacy, environmental cost of computation) should be addressed where relevant to the study.
4. Evolving Policy
As AI tools and their capabilities continue to evolve rapidly, this policy will be reviewed and updated periodically to reflect emerging best practices in scholarly publishing. The version in effect at the time of submission applies to that manuscript.
Questions
Questions regarding this policy may be directed to support@jmisip.com.
