This policy is based on and refers to the guidelines outlined in the Generative AI Policy for Journals, as provided by:

- STM: Recommendations for classifying the use of AI in the preparation of academic manuscripts

- WAME: Chatbots, generative AI, and scholarly manuscripts

The journal JIMK acknowledges the importance of artificial intelligence (AI) and its potential to assist authors throughout the research and writing process. JIMK welcomes the new possibilities offered by generative AI tools—particularly in generating ideas, accelerating research, analyzing results, refining writing, managing submitted manuscripts, supporting authors writing in a second language, and expediting the research and dissemination process. IAES provides guidance for authors, editors, and reviewers regarding the use of these tools—guidance that will continue to evolve alongside the rapid advancements in the field of AI.

Generative artificial intelligence (AI) tools are constantly developing and evolving, especially in their application within the fields of pharmacy and healthcare. While generative AI holds great potential for enhancing author creativity, it is essential to be aware of the risks associated with the current generation of these tools. Generative AI can produce a wide range of content, including text, images, audio, and synthetic data. Well-known examples of such tools include ChatGPT, Copilot, Gemini, Claude, NovelAI, Jasper AI, DALL-E, Midjourney, and Runway.

Some of the risks associated with the use of current generative AI tools include:

Inaccuracies and bias: Generative AI tools are fundamentally statistical rather than factual in nature. Consequently, they may produce inaccuracies, misinformation, or biases that can be difficult to detect, verify, and correct. Lack of attribution: Generative AI often fails to adhere to established practices within the global scientific community regarding the proper and accurate attribution of ideas, citations, or references.

Confidentiality and intellectual property risks: Currently, generative AI tools are frequently used on third-party platforms that may not provide adequate standards for confidentiality, data security, or copyright protection. Unintended use: Generative AI providers may reuse input data or the output generated from user interactions. Such practices could potentially infringe upon the rights of authors, publishers, and others.

Authors

Authors may use generative AI tools (e.g., ChatGPT, GPT models) for specific tasks, such as improving the grammar, language usage, and readability of their manuscripts. However, authors remain responsible for the originality, validity, and integrity of the manuscripts they submit. When choosing to use generative AI tools, authors must do so responsibly and in compliance with our journal’s editorial policies regarding authorship and publication ethics. This responsibility includes reviewing the output produced by AI tools and ensuring the accuracy of the content.

IAES supports the responsible use of generative AI tools, provided that high standards of data security, confidentiality, and copyright protection are maintained in the following contexts:

• Generation and exploration of ideas
• Language refinement
• Interactive online searches using LLM-enhanced search engines
• Literature classification
• Assistance with coding

Authors are responsible for ensuring that the content of their manuscripts meets rigorous scientific and academic assessment standards, as well as research and validation criteria, and that the content is created by the authors themselves.

Generative AI tools may not be listed as authors, as they cannot assume responsibility for submitted content, nor can they manage copyright and licensing agreements. Authorship entails accountability for the content, consent for publication via publishing agreements, and the provision of contractual assurances regarding the integrity of the work, among other essential principles. These responsibilities, which are inherently human, cannot be fulfilled by generative AI tools.

Authors are required to provide a clear disclosure regarding their use of generative AI tools in their articles by including a statement that specifies the full name of the tool (along with its version number), how it was used, and the rationale for its use. For article submissions, this statement should be included in the Methods or Acknowledgements section. Such transparency enables editors to assess the responsible application and use of generative AI tools. The JIMK journal reserves the full authority to decide on the publication of such work to ensure the maintenance of integrity and compliance with established guidelines.

If authors intend to use AI tools, they must ensure that the tools are appropriate and reliable for their intended purpose. Furthermore, they must verify that the terms and conditions associated with these tools provide adequate protection and guarantees, particularly concerning intellectual property rights, confidentiality, and security.

Authors should avoid submitting manuscripts that utilize generative AI tools in ways that circumvent the fundamental responsibilities of a researcher or author—for example:

• Generating text or code without careful revision.
• Creating synthetic data to replace missing data without a robust methodology.
• Generating any inaccurate content, including abstracts or supplementary materials.
• Such instances may be subject to editorial investigation.

Currently, the JIMK journal prohibits the use of generative AI in the creation or manipulation of images, illustrations, and original research data intended for inclusion in our publications. The term "images and illustrations" encompasses photographs, graphs, data tables, medical imagery, image excerpts, computer code, and formulas. "Manipulation" refers to the act of adding, concealing, moving, deleting, or inserting specific features into an image or illustration.

Human oversight and transparency must remain the cornerstone of the use of generative AI and AI-based technologies at every stage of the research process. Research ethics guidelines are continuously updated to accommodate developments in generative AI technology. The JIMK journal will keep its editorial guidelines updated in line with technological advancements and ethical standards in research.

EDITORS AND PEER REVIEWERS

The JIMK journal is committed to maintaining the highest standards of editorial integrity and transparency. Editors and peer reviewers who use manuscripts within generative AI systems risk violating confidentiality, proprietary rights, and privacy—including the privacy of personal information. Therefore, editors and peer reviewers are prohibited from uploading files, images, or information from unpublished manuscripts into generative AI tools. Non-compliance with this policy may constitute an infringement of the intellectual property rights of the rights holders.

Editors

Editors play a crucial role in upholding the quality and integrity of research content. Consequently, editors are obligated to maintain the confidentiality of details regarding manuscript submissions and the peer-review process.

The use of manuscripts within generative AI systems can pose significant risks concerning confidentiality, as well as potential violations of proprietary rights, data security, and other issues. Accordingly, editors are prohibited from uploading unpublished manuscripts—along with any associated files, images, or information—into generative AI tools.

Peer Reviewers

Peer reviewers, selected for their expertise in relevant fields, are not permitted to use generative AI to evaluate or summarize submitted articles (or any portions thereof) when preparing their reviews. Therefore, peer reviewers are prohibited from uploading unpublished manuscripts or project proposals—along with any associated files, images, or information—into generative AI tools.

Generative AI may only be used to assist in improving the grammar of a review; however, peer reviewers remain fully responsible for ensuring the accuracy and integrity of their assessments.