AI Guidelines

Policy on the Use of Artificial Intelligence (AI) in Academic Publishing

Introduction

The Insights - Journal of Medical and Dental Research (IJMDR) acknowledges the transformative role of Artificial Intelligence (AI) in academic publishing. This policy establishes ethical guidelines and responsible AI usage throughout the manuscript submission, review, editing, and publication processes. By implementing these standards, IJMDR ensures the ethical integrity, transparency, and quality of AI-assisted contributions in medical and dental research.

Scope

This policy applies to all AI technologies used in the publication workflow, including but not limited to:

  • Machine learning models for data analysis and text generation.
  • Natural language processing (NLP) for content refinement.
  • AI-driven peer review support tools.
  • Automated data analysis for research validation.

These guidelines govern authors, reviewers, and editors to ensure AI is used responsibly and transparently in scholarly publishing.

Guiding Principles

1. Transparency in AI Usage

  • AI Disclosure: Authors, reviewers, and editors must explicitly declare AI usage in any stage of manuscript development or review.
  • Clear Attribution: AI-assisted content should be clearly distinguished from human-authored contributions.

2. Ethical and Responsible AI Use

  • Fairness and Bias Prevention: AI tools should promote fairness and objectivity, minimizing biases in research analysis or review.
  • Data Privacy Protection: Any AI application must comply with data protection regulations, ensuring the security of sensitive or personal information.

3. Authorship & Accountability

  • AI as a Tool, Not an Author: AI-generated content cannot be attributed as an author but must be acknowledged where relevant.
  • Human Oversight: Authors are fully responsible for AI-assisted content and must ensure its accuracy and ethical compliance.

4. Quality & Originality Standards

  • Manuscript Integrity: Any AI-generated or AI-assisted content must adhere to the journal’s academic and ethical standards.
  • Plagiarism & Authenticity Checks: AI-generated content is subject to rigorous originality assessments to prevent unethical use.

AI in the Peer Review & Editorial Process

1. AI-Assisted Peer Review

  • AI may be used as a supportive tool to enhance efficiency in peer review (e.g., automated plagiarism detection, statistical validation).
  • However, human reviewers must remain the final decision-makers, ensuring expert evaluation of manuscripts.

2. AI-Influenced Editorial Decisions

  • If AI tools contribute to editorial decisions, the rationale behind AI-assisted recommendations must be documented for transparency.

AI in Research Studies

1. Documentation & Methodology

  • Studies incorporating AI methodologies must provide a comprehensive description of AI applications, including:

    • Algorithms used
    • Data sources
    • Processing techniques
    • Bias detection methods

  • Authors should ensure that AI methodologies comply with scientific reproducibility standards.

2. Managing AI Bias & Errors

  • Researchers must actively identify, assess, and mitigate AI-related biases in data interpretation.
  • Any AI-related errors in research must be transparently disclosed and corrected in subsequent revisions.

AI-Generated Content Modifications & Version Control

1. Documentation of AI Contributions

  • Any AI-assisted revisions or content modifications must be documented, ensuring accountability.
  • A version history should be maintained to track AI-influenced changes in manuscripts.

2. Traceability & Review

  • AI-generated modifications must be auditable, allowing for human verification of content accuracy.

Implementation & Compliance

1. Editorial & Reviewer Training

  • The IJMDR team will undergo regular training to understand AI’s role in academic publishing and ensure ethical application.

2. Policy Monitoring & Updates

  • This AI policy will be reviewed annually to align with evolving AI technologies and publishing best practices.

3. Enforcement & Compliance

  • Non-compliance with AI disclosure or ethical standards may lead to:
    • Manuscript rejection
    • Retraction of published work
    • Further editorial actions as necessary

Commitment to Ethical AI Integration

By establishing this policy, IJMDR ensures ethical AI usage while fostering integrity, transparency, and innovation in academic publishing. As AI continues to evolve, the journal remains dedicated to adapting best practices that advance medical and dental research responsibly.