GenAI Policy
In light of the increasing integration of Generative Artificial Intelligence (AI) in academic research and publishing, it is imperative for the Journal of University College of Medicine and Dentistry to establish a clear policy guiding the ethical and responsible use of such technologies. This policy aims to ensure the integrity, transparency, and quality of scholarly work published in the journal.
- Definition of Generative AI
Generative AI refers to artificial intelligence systems capable of producing content, including text, images, and data, that resembles human-created material. Examples include language models like GPT-4 and image generation tools.
- Acceptable Use of Generative AI in Manuscript Preparation
- Assistance in Writing: Authors may utilize Generative AI tools to aid in drafting and editing manuscripts. However, reliance on such tools should not compromise the originality and scholarly contribution of the work. Authors must ensure that AI-generated content is accurate and appropriately integrated into their research.
- Data Analysis: The use of AI tools for data analysis is permitted, provided that authors maintain full responsibility for the accuracy and interpretation of the results. All AI-assisted analyses should be thoroughly reviewed and validated by the authors.
- Disclosure Requirements
- Transparency: Authors must disclose any use of Generative AI tools in the creation of their manuscript. This includes specifying the tools used and the extent of their contribution. Such disclosures should be included in the manuscript's acknowledgments or methods section, as appropriate.
- Authorship: AI tools cannot be credited as authors. All listed authors must be human contributors who take full responsibility for the content of the manuscript.
- Ethical Considerations
- Plagiarism and Originality: Authors are responsible for ensuring that AI-generated content does not plagiarize existing works. All submissions will be subjected to plagiarism detection tools to verify originality.
- Data Integrity: When using AI for data generation or analysis, authors must ensure the validity and reliability of the data. Fabrication or manipulation of data is strictly prohibited and will be considered a breach of ethical standards.
- Limitations on AI Use
- Critical Analysis: Generative AI should not replace the critical analysis and intellectual contributions of the authors. The core arguments, interpretations, and conclusions must be the result of the authors' own scholarly work.
- Citations and References: Authors should exercise caution when using AI tools for generating citations and references, as AI-generated bibliographies may contain inaccuracies. All references must be verified for correctness and relevance.
- Compliance and Review
- Policy Adherence: By submitting to JUCMD, authors agree to comply with this Generative AI policy. Non-compliance may result in the rejection of the manuscript or retraction of the published article.
- Policy Updates: This policy will be reviewed and updated regularly to keep pace with advancements in AI technology and its implications in academic publishing. Authors are encouraged to review the policy periodically to ensure ongoing compliance.
By implementing this policy, JUCMD reaffirms its commitment to upholding the highest standards of academic integrity and scholarly excellence in the evolving landscape of AI-assisted research and publication.