AI Generated Content Policy
Journals Published by RSYN RESEARCH LLP
Document Control
Policy Version: 1.0
Effective Date: 01 August 2025
Last Updated: 25 July 2025
Review Cycle: Annual
Document Owner: RSYN RESEARCH LLP Ethics Committee / Editorial Board
Classification: Public Policy Document
Approved By: Board of Directors, RSYN RESEARCH LLP
Executive Summary
RSYN RESEARCH LLP is committed to maintaining the highest standards of academic integrity and transparency in scholarly publishing while embracing technological innovation that enhances research quality and accessibility. This comprehensive AI Generated Content Policy establishes our framework for the responsible use of Artificial Intelligence (AI) and AI-assisted technologies in research manuscripts submitted to all journals under our publication portfolio.
This policy recognizes the transformative potential of AI tools in advancing scientific research while ensuring that human intellectual contribution, scientific rigor, and ethical standards remain paramount. We firmly believe that AI should supplement, not replace, human creativity, critical thinking, and scholarly expertise.
This policy applies to all manuscripts submitted to RSYN RESEARCH LLP journals on or after 01 August 2025. Manuscripts submitted prior to this date will be evaluated under the guidelines available at the time of submission, with retroactive disclosure encouraged for transparency.
Foundational Principles
RSYN RESEARCH LLP's AI Generated Content framework is built upon five fundamental pillars:
Transparency and Accountability: Ensuring complete disclosure of AI tool usage and maintaining human responsibility for all published content.
Scientific Integrity: Preserving the rigor, authenticity, and reliability of scholarly research regardless of AI tool involvement.
Innovation with Responsibility: Embracing beneficial AI applications while preventing misuse that could compromise research quality or ethics.
Human-Centric Approach: Recognizing that AI tools should enhance, not replace, human intellectual contribution and expert judgment.
Continuous Adaptation: Remaining responsive to evolving AI technologies and emerging best practices in academic publishing.
Policy Scope
This policy governs all scholarly content submitted to and published in journals under RSYN RESEARCH LLP's auspices, encompassing:
- Peer-reviewed journal articles across all disciplines and research methodologies - Review articles, systematic reviews, and meta-analyses - Case studies, technical reports, and research communications - Special issues, themed collections, and conference proceedings - Editorial content, commentaries, and opinion pieces - Supplementary materials, datasets, and multimedia content associated with publications - Preprints and postprints, as defined in our Preprint Policy - Correspondence, letters to the editor, and research responses
Definition of AI Generated Content
For the purposes of this policy, RSYN RESEARCH LLP defines AI-related content categories as follows:
Artificial Intelligence (AI): Computer systems and algorithms capable of performing tasks that typically require human intelligence, including but not limited to natural language processing, image generation, data analysis, pattern recognition, and predictive modeling.
AI-Generated Content: Content created entirely or substantially by AI systems without direct human intellectual contribution to the specific output, including text, images, data, analyses, or other materials produced autonomously by AI tools.
AI-Assisted Content: Content created with AI tools that enhance, support, or facilitate human-authored work while maintaining substantial human intellectual input, oversight, and final approval.
Large Language Models (LLMs): AI systems trained on extensive text datasets to generate human-like text, including but not limited to GPT models, Claude, Bard, Gemini, and similar technologies.
Generative AI: AI systems capable of creating new content including text, images, data visualizations, code, or other materials based on prompts or training data.
AI Usage Models
RSYN RESEARCH LLP recognizes the following categories of AI usage in scholarly manuscripts:
1. Acceptable AI-Assisted Research
AI tools may be appropriately used for:
Writing and Language Enhancement: - Grammar checking and language polishing - Translation assistance for non-native speakers - Technical writing support for methodology descriptions - Formatting and citation assistance
Data Analysis and Visualization: - Statistical analysis assistance and verification - Data visualization and chart generation - Pattern recognition in large datasets - Code generation for standard analytical procedures
Research Support Activities: - Literature search optimization and screening - Reference management and formatting - Preliminary hypothesis generation - Research methodology suggestions
2. Prohibited AI Applications
AI tools must not be used for:
Content Fabrication: - Generating fake experimental data or results - Creating fictitious case studies or patient data - Fabricating literature reviews or citations - Generating false research findings or conclusions
Authorship and Attribution Violations: - Submitting AI-generated work without proper disclosure - Claiming AI-generated content as original human thought - Using AI to plagiarize or paraphrase existing work without attribution - Listing AI systems as authors or co-authors
Disclosure Requirements and Procedures
All manuscripts must include comprehensive disclosure of AI tool usage through the following mechanisms:
Table 1: Mandatory AI Disclosure Requirements
| Content Type | Disclosure Level | Documentation Required |
|---|---|---|
| Writing assistance (grammar, style) | Basic | Tool name, purpose, sections affected |
| Data analysis and visualization | Detailed | Tool specifications, validation methods, human oversight |
| Literature search and screening | Standard | Search strategy, AI tool role, human verification |
| Image enhancement or generation | Comprehensive | Original files, processing methods, quality assurance |
| Code generation or analysis | Full | Code review process, testing procedures, expert validation |
Disclosure Format Template:
AI and AI-Assisted Technologies Declaration
The authors acknowledge the use of the following AI and AI-assisted technologies in the preparation of this manuscript:
[Tool Name] (Version X.X, Provider): Used for [specific purpose] in [specific sections/aspects]. Human oversight included [description of review and validation process].
The authors take full responsibility for the accuracy, integrity, and scientific validity of all content in this manuscript and confirm that all AI-assisted materials have been thoroughly reviewed, validated, and approved by qualified human researchers.
Placement Requirements: - Location: Dedicated section before References or within Ethics Statement - Visibility: Clearly labeled and easily identifiable to readers and reviewers - Completeness: Must cover all AI tool usage throughout the research and writing process
Author Rights and Responsibilities for AI-Assisted Content
Copyright and Intellectual Property: Authors retain full copyright and intellectual property rights for AI-assisted content, provided they maintain substantial human intellectual contribution and proper disclosure.
Quality Assurance Obligations: Authors must implement systematic review processes for all AI-generated or AI-assisted content, including independent verification of facts, data, and analyses.
Ongoing Responsibilities: Authors must respond promptly to editorial queries regarding AI usage, provide additional documentation when requested, and correct any errors or misrepresentations related to AI tool usage.
Institutional Compliance: Authors are responsible for ensuring all AI usage complies with their institutional policies, funding agency requirements, and applicable research ethics guidelines.
Post-Publication Accountability: Authors must notify the journal immediately if significant AI usage is discovered after publication that was not previously disclosed.
Editorial Review and Assessment Process
RSYN RESEARCH LLP employs a comprehensive review framework for manuscripts involving AI-generated or AI-assisted content:
Initial Screening Phase: - Verification of AI disclosure completeness and accuracy - Assessment of AI usage appropriateness for the research type and methodology - Preliminary evaluation using AI detection tools when deemed necessary - Check for compliance with journal-specific AI guidelines
Peer Review Considerations: - Reviewers will be informed of AI usage in manuscripts under review - Additional expertise may be sought for submissions with extensive AI involvement - Extended review periods may be granted for complex AI usage cases - Reviewers will evaluate the adequacy of human oversight and validation processes
Editorial Decision Criteria: - Appropriate and transparent AI usage according to policy guidelines - Adequate human intellectual contribution and oversight - Maintenance of scientific integrity and research quality standards - Full compliance with disclosure requirements and ethical guidelines
AI Detection and Investigation Procedures
Detection Methods: RSYN RESEARCH LLP reserves the right to employ AI detection software, conduct random sampling of submissions for AI content analysis, and investigate concerns raised by reviewers, editors, or readers.
Investigation Process: 1. Authors will be notified promptly of any detection concerns or policy compliance questions 2. Opportunity provided for detailed explanation and submission of additional documentation 3. Independent expert review conducted when necessary to assess AI usage appropriateness 4. Final decision rendered based on evidence evaluation and author response
Appeal Mechanism: Authors may appeal editorial decisions related to AI policy through our formal appeals process, with independent review panels and clearly defined timelines.
Compliance and Enforcement Framework
Table 2: Consequences of AI Policy Violations
| Violation Type | First Offense | Repeat Offense | Severe Violation |
|---|---|---|---|
| Inadequate disclosure | Revision required | Editorial note | Manuscript rejection |
| Inappropriate AI usage | Conditional acceptance | Temporary submission restriction | Permanent submission ban |
| Fraudulent AI content | Manuscript rejection | Institution notification | Retraction and legal action |
Monitoring and Enforcement: - Regular auditing of published content for undisclosed AI usage - Cooperation with institutional research integrity investigations - Information sharing with other publishers and professional organizations when appropriate - Maintenance of comprehensive records of policy compliance and violations
Funding Body and Institutional Compliance
RSYN RESEARCH LLP's AI policies are designed to assist authors in complying with institutional and funding agency requirements regarding AI tool usage in research. Authors are advised to verify their institution's and funder's specific AI policies and ensure full compliance with all applicable guidelines.
Data Availability and Transparency for AI-Assisted Research
Authors using AI tools for data analysis, visualization, or interpretation are strongly encouraged to include comprehensive Data Availability Statements (DAS) that specify: - Original datasets and their accessibility - AI tool specifications and versions used - Analysis parameters and human validation procedures - Code repositories and computational workflows - Replication instructions for AI-assisted analyses
Training and Support Resources
RSYN RESEARCH LLP is committed to providing ongoing education and support regarding responsible AI usage:
Available Resources: - Comprehensive AI usage guidelines and best practices documentation - Regular webinars and training sessions for authors and reviewers - Technical support for AI disclosure requirements and procedures - Collaboration with leading AI ethics researchers and practitioners
Policy Implementation
Roles and Responsibilities:
Board of Directors: Approves and oversees the overall AI policy framework for all journals, including major policy revisions and enforcement guidelines.
Ethics Committee/Editorial Board: Monitors policy compliance, investigates violations, handles appeals, and makes decisions on complex AI usage cases.
Editorial Teams: Implement journal-specific AI guidelines, guide authors through disclosure requirements, and manage the review process for AI-assisted manuscripts.
Technical Staff: Maintains AI detection tools, ensures technical infrastructure supports policy implementation, and provides technical assistance to authors and editors.
Support Personnel: Provides guidance to authors regarding AI disclosure requirements, policy interpretation, and compliance procedures.
Review and Updates
This policy will undergo comprehensive evaluation through:
Annual Review Process: Systematic assessment of policy effectiveness, compliance rates, and emerging AI technology developments.
Stakeholder Feedback Integration: Regular consultation with authors, editors, reviewers, and readers regarding policy implementation and effectiveness.
Industry Benchmarking: Continuous monitoring of evolving AI standards and best practices in academic publishing.
Technology Assessment: Evaluation of new AI detection tools, emerging AI applications, and evolving ethical considerations.
Legal and Regulatory Compliance: Regular review of applicable laws, regulations, and professional guidelines regarding AI usage in research.
This document may be updated without prior notice to reflect technological advances, regulatory changes, or emerging best practices.
Final Decision Authority
For any matter concerning AI-generated content, policy interpretation, or related disputes within any RSYN RESEARCH LLP journal, the decision of the Editor-in-Chief, made in consultation with one Ethics Committee member and one management board representative, will be considered final and binding.
Supporting Documentation
Required Forms: - AI Usage Declaration Form - Supplementary AI Documentation Template - Quality Assurance Checklist for AI-Assisted Research - Appeal Request Form for AI Policy Decisions
Procedural Guidelines: - Author instructions for AI disclosure procedures - Reviewer guidelines for evaluating AI-assisted manuscripts - Editorial guidelines for AI policy implementation - AI detection and investigation protocols - Academic Integrity and Publication Ethics Policy - Institutional AI Policy Compliance Guide
Contact Information
For policy-related inquiries and questions regarding AI-generated content:
Ethics Committee: ethics@rsyn.org Editorial Support: info@rsyn.org AI Policy Inquiries: ai-policy@rsyn.org Appeals Committee: appeals@rsyn.org Technical Support: technical@rsyn.org
Appendices
Appendix A: Comprehensive Glossary of AI and Technology Terms Appendix B: AI Detection Tools and Methods Overview Appendix C: Best Practices for AI-Assisted Research Documentation Appendix D: Sample AI Disclosure Statements by Research Type Appendix E: Institutional AI Policy Compliance Checklist Appendix F: International Guidelines and Standards for AI in Research Appendix G: Quality Assurance Protocols for AI-Assisted Content
Acknowledgments
This policy was developed in consultation with: * International Committee of Medical Journal Editors (ICMJE) * Committee on Publication Ethics (COPE) * World Association of Medical Editors (WAME) * Leading AI ethics researchers and practitioners
Legal Notice
This document represents the intellectual property of RSYN RESEARCH LLP and is protected under Indian copyright law and international copyright law. © All rights reserved. Unauthorized reproduction or distribution is strictly prohibited.
This policy is subject to change based on evolving technology, legal requirements, and industry best practices. Authors and editorial staff should check for the most current version before manuscript submission or review.