Human Accountability
Authors remain fully responsible for the accuracy, originality, integrity, citations, permissions, data, conclusions and declarations in their work, even when AI tools are used.
AI Use and Research Integrity Policy
Responsible Use of Artificial Intelligence in Scholarly Publishing
UnivColl Publications recognizes that AI tools may support writing, translation, editing and technical work, but authors, reviewers and editors must protect accuracy, originality, confidentiality, authorship, citations and research integrity.
AI with Accountability
AI Can Assist Research Communication, But It Cannot Replace Author Responsibility
Artificial intelligence and generative AI tools can help with language polishing, translation, summaries, outlines, code suggestions and administrative tasks. However, AI tools may also produce fabricated references, unsupported claims, inaccurate summaries, biased output or misleading content.
This policy explains how authors, reviewers, editors and publisher staff should handle AI-assisted content in journals, books, chapters and conference proceedings while protecting research integrity and scholarly trust.
Connecting University & College Research Worldwide
AI + Integrity
Human Responsibility
Disclosure, verification, confidentiality, citation accuracy and no fabricated scholarship.
UnivColl Publications
Connecting University & College Research Worldwide
Core Principles
Principles for Responsible AI Use in Publishing
AI use should be transparent, verified, ethical and accountable to human authors and editors.
AI Is Not an Author
AI tools cannot take responsibility for scholarly content, legal duties, ethical declarations or conflict-of-interest statements and should not be listed as authors.
Transparent Disclosure
Meaningful AI assistance in writing, editing, translation, analysis, image creation, coding or data processing should be disclosed where relevant.
No Fabricated Scholarship
AI-generated references, unsupported claims, fabricated data, false quotations, fake citations, invented institutions or misleading evidence are not acceptable.
Confidentiality Protection
Reviewers and editors should not upload confidential manuscripts, review reports or unpublished author data into AI tools unless authorized and safe under policy.
Research Integrity First
AI may assist academic work, but it must not replace honest research, genuine analysis, ethical review, author responsibility or editorial judgment.
Policy Scope
Author Guidelines
Where This AI Policy Applies
This policy applies to authors, reviewers, editors, proceedings organizers, book contributors and publisher operations.
Journal Articles
Applies to research papers, review articles, case studies, conceptual papers, short communications and other journal submissions.
Book Manuscripts
Applies to academic books, textbooks, edited volumes, monographs and institutional book projects.
Book Chapters
Applies to chapter proposals, full chapters, references, figures, tables and contributor declarations.
Conference Proceedings
Applies to proceedings papers, abstracts, conference manuscripts, event publications and selected paper collections.
Peer Review
Applies to reviewers, editors, editorial board members and anyone handling confidential manuscripts or review material.
Publisher Operations
Applies to metadata, summaries, formatting support, language polishing, website content and editorial administration where AI tools may assist.
Acceptable AI Assistance
AI Uses That May Be Acceptable with Human Verification
Limited AI assistance may be acceptable when authors verify the output and disclose meaningful use where required.
Language Polishing
Authors may use AI tools for grammar, spelling, readability, formatting suggestions or language improvement, while reviewing all output carefully.
Translation Support
AI may assist translation, but authors must verify meaning, terminology, citations, quotations and subject accuracy.
Idea Organization
AI may help organize outlines, headings, summaries or structure, provided the intellectual contribution remains author-owned and accurate.
Coding Assistance
AI may support code drafting or debugging, but authors must validate code, data processing, results and reproducibility.
Administrative Support
AI may help prepare checklists, metadata drafts, cover letters or non-confidential editorial templates.
Accessibility Support
AI may help improve plain-language summaries, alt text drafts or readability, subject to author and editorial verification.
Restricted AI Misuse
AI Uses That Are Not Acceptable
AI misuse can damage research integrity through fabricated scholarship, hidden plagiarism, false data and confidentiality breaches.
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Creating fake or fabricated references
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Inventing data, interviews, results or case details
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Generating false quotations or unsupported claims
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Writing a full manuscript without genuine author contribution
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Creating fake peer review reports
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Uploading confidential manuscripts into unsafe AI tools
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Using AI to hide plagiarism or paraphrase copied work
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Generating images, tables or figures without disclosure or permission
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Creating false authorship, affiliation or funding information
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Using AI to manipulate citations or inflate references
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Submitting AI hallucinated literature review as verified scholarship
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Using AI output without checking accuracy and originality
AI Disclosure
When AI Use Should Be Disclosed
Disclosure helps editors, reviewers and readers understand how AI assisted the work.
Writing Assistance
Disclose when AI substantially assisted drafting, rewriting, summarizing, translating or language editing beyond routine spelling correction.
Data or Code Assistance
Disclose AI use for code generation, data processing, statistical scripts, analysis suggestions or technical automation.
Image or Figure Creation
Disclose AI-generated or AI-edited images, diagrams, graphical abstracts or visual materials where applicable.
Literature Search Support
Disclose AI-assisted literature mapping where it influenced source selection, but verify every reference independently.
Translation
Disclose AI-assisted translation where it substantially affected manuscript language or interpretation.
No AI Used
Where a journal or editor requires it, authors may include a simple statement that no AI tools were used in the preparation of the manuscript.
Sample AI Disclosure Statements
Suggested Wording for Authors
These sample statements may be adapted according to journal, book, chapter or proceedings requirements.
| Use Case | Suggested Disclosure Statement |
|---|---|
| Language polishing only | The authors used an AI-assisted language tool for grammar and readability improvement. The authors reviewed and approved all final content. |
| Translation support | AI-assisted translation support was used for language conversion. The authors verified the accuracy, meaning and terminology of the final text. |
| Coding support | AI assistance was used for code drafting/debugging support. The authors validated the code, analysis and results independently. |
| Image generation | AI-assisted image/diagram generation was used for visual preparation. The authors confirm that the image does not misrepresent data or copyrighted material. |
| No AI assistance | The authors declare that no AI tool was used for drafting, analysis, image generation or content creation in this manuscript. |
Author Responsibilities
Authors Remain Responsible for Final Content
AI use does not reduce author responsibility for correctness, originality, ethics, citations, data and permissions.
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Verify all AI-assisted text for accuracy
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Check every reference independently
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Ensure no fabricated source is included
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Confirm all data, results and methods are real and accurate
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Disclose meaningful AI assistance where required
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Do not list AI as an author
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Maintain originality and avoid plagiarism
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Protect confidential, personal or sensitive data
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Review AI-assisted translations for meaning
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Confirm copyright permissions for AI-generated or edited visuals
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Take full responsibility for final submitted content
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Follow journal, book, chapter or proceedings guidelines
Editorial Checks
What Editors Should Check in AI-Assisted Submissions
Editors should handle AI concerns through evidence, clarification and policy, not assumption alone.
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Check whether AI disclosure is present where needed
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Review suspicious fabricated references
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Check for generic, unsupported or repetitive content
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Assess whether claims are evidence-based
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Flag inconsistent methods, data or results
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Check for possible plagiarism or paraphrased copying
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Ask authors for clarification when AI use is unclear
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Do not rely only on AI-detection tools
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Protect confidential manuscripts from unauthorized AI upload
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Document serious AI-related integrity concerns
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Apply corrections, withdrawal or retraction policies where needed
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Keep editorial decisions independent and evidence-based
Reviewer Guidance
AI Use and Confidentiality in Peer Review
Reviewers must protect unpublished manuscript content and apply human scholarly judgment.
Maintain Confidentiality
Reviewers should not upload unpublished manuscripts, author data, figures or review reports into external AI tools unless explicitly permitted.
Assess Content, Not Assumptions
Reviewers should evaluate evidence, citations, methods and writing quality rather than assuming AI use without basis.
Flag Fabrication
Reviewers should alert editors if they find invented references, false data, unsupported claims or suspicious inconsistencies.
Avoid AI-Written Confidential Reviews
If AI is used to assist review wording, reviewers must ensure confidentiality, accuracy, originality and personal responsibility.
Declare Relevant AI Assistance
Where a reviewer uses AI assistance in preparing a report, this may need to be disclosed to the editor according to journal policy.
Human Judgment Remains Essential
Peer review recommendations should be based on reviewer expertise, not automated AI judgment.
AI Detection Limitations
AI Detection Tools Should Not Be Treated as Final Evidence
Editorial decisions should be evidence-based and should not rely only on AI detection scores.
AI Detection Is Not Final Proof
AI-detection tools may produce false positives and false negatives. Editorial action should not rely solely on automated detection.
Evidence-Based Handling
Editors should consider references, data, methods, writing patterns, author explanations and document history where available.
Author Clarification
Authors may be asked to explain AI use, source verification, data authenticity or drafting process.
Policy-Based Decision
Decisions should be based on plagiarism, fabrication, false disclosure, confidentiality breach or research integrity concerns.
No Automatic Rejection
Responsible AI assistance alone should not automatically lead to rejection if disclosed and the work remains original, accurate and ethical.
Serious Misuse
Undisclosed fabrication, fake references, data invention or fraudulent AI-generated scholarship may justify rejection or post-publication action.
Editorial Decision Matrix
Possible Editorial Handling of AI-Related Issues
Actual decisions depend on evidence, author response, seriousness and journal or publisher policy.
| Issue | Risk Level | Possible Action |
|---|---|---|
| Minor AI-assisted grammar polishing | Low | Normally acceptable if authors verify content; disclosure may be required by policy. |
| AI-assisted translation | Medium | Require author verification and disclosure if substantial. |
| AI-generated references | High | Require correction, clarification or rejection if fabricated references remain. |
| AI-generated data or results | Very High | Treat as potential research misconduct if data are fabricated or unverifiable. |
| AI use in confidential peer review | High | Review confidentiality breach and reviewer responsibility. |
| Undisclosed AI-generated full manuscript | High | Seek author explanation; reject or investigate if integrity concerns exist. |
AI Concern Handling Workflow
Complaints Policy
How AI-Related Concerns May Be Reviewed
A structured workflow helps editors handle AI concerns fairly and consistently.
01
Disclosure Review
Editor checks whether AI use has been disclosed where required and whether the statement is clear enough.
02
Content Integrity Check
Manuscript is reviewed for fabricated references, unsupported claims, plagiarism, false data or suspicious inconsistencies.
03
Author Clarification
If needed, author is asked to explain AI use, reference verification, data source, image origin or writing process.
04
Editorial Assessment
Editor evaluates risk using evidence, author response, reviewer comments and publisher policy.
05
Decision or Correction
Editor may request revision, disclosure update, reference correction, image clarification, rejection or post-publication notice.
06
Record Documentation
Serious AI-related concerns and decisions should be documented for editorial transparency and future reference.
Data Privacy and Confidentiality
Protect Confidential and Sensitive Information
AI tools may store or process uploaded data. Authors, editors and reviewers must protect confidential, personal and unpublished material.
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Do not upload confidential manuscripts into public AI tools without authorization
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Do not upload personal data, patient data, student data or sensitive information into unsafe tools
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Do not upload reviewer comments into AI tools without permission
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Do not upload unpublished data or figures from another author’s manuscript
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Do not use AI tools that store confidential content without clear permission
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Remove personal identifiers where possible before using any permitted AI assistance
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Follow privacy, consent and data protection requirements
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Maintain institutional ethics requirements where applicable
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Use secure tools only where appropriate and authorized
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Ask editor or publisher if confidentiality status is unclear
AI Images and Figures
AI-Assisted Visuals Must Not Misrepresent Evidence
AI-generated or AI-edited visuals require careful disclosure, permissions and evidence protection.
AI-Generated Images
AI-generated images, diagrams or graphical abstracts should be disclosed and should not misrepresent scientific evidence or copyrighted material.
Data Figures
AI must not invent, alter or enhance research data figures in a way that changes meaning or evidence.
Permissions
Authors remain responsible for copyright, permissions and license issues in AI-assisted visual materials.
Image Editing
AI-assisted image editing should not hide, add, remove or manipulate evidence in research images.
Captions
Captions should clearly explain AI-assisted visual creation where relevant.
Editorial Review
Editors may request source files, prompts, raw data or clarification for AI-assisted images where needed.
Citation Integrity
AI Must Not Be Used to Fabricate References
References are the backbone of scholarly trust. Every citation must be checked and connected with real sources.
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Do not cite sources that have not been personally verified
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Do not trust AI-generated references without checking
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Check DOI, title, author, journal, year and page details
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Remove non-existent references
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Avoid fabricated quotations
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Do not use AI to inflate citations
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Do not request irrelevant self-citations through AI-generated suggestions
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Use reliable databases, official records or primary sources where possible
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Ensure references support the claims made
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Correct citation errors before final submission
Not Supported
AI Practices UnivColl Publications Should Not Support
AI misuse that damages originality, accountability, confidentiality or scholarly truth should be rejected or corrected.
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Listing AI tools as authors
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Submitting fabricated references
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Submitting AI-generated false data
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Using AI to hide plagiarism
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Uploading confidential peer-review material to unsafe AI tools
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Submitting AI-generated images as real evidence
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Using AI to create fake affiliations or author identities
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Using AI to generate fake reviewer reports
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Claiming AI output as verified research without checking
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Using AI to manipulate citations or inflate references
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Ignoring AI disclosure requirements
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Publishing AI-assisted content that violates copyright or privacy
Related Policies
Policies Connected with AI Use and Research Integrity
AI policy works together with ethics, plagiarism, peer review, privacy, copyright and correction policies.
Publication Ethics
Integrity, misconduct, authorship and ethical publishing responsibilities.
Read PolicyPlagiarism Policy
Originality, similarity, copied content and AI-assisted paraphrasing concerns.
Read PolicyPeer Review Policy
Reviewer confidentiality and human editorial decision-making.
Read PolicyPrivacy Policy
Confidential data, personal information and responsible information handling.
Read PolicyCopyright and Licensing
AI-generated images, reuse, permissions and third-party material.
Read PolicyCorrections and Retractions
Post-publication handling for serious AI-related integrity concerns.
Read Policy
Future CMS Plan
Ready for AI Declaration and Integrity Tracking
Later the publisher CMS can track AI declarations, AI use type, author verification, reference verification, image AI use, confidentiality check, editor review status and risk level.
ai_declaration_id
record_type
record_id
paper_id
ai_used
ai_tool_name
ai_use_type
ai_disclosure_statement
author_verified
reference_verified
image_ai_used
data_ai_used
confidentiality_checked
editor_review_status
risk_level
clarification_requested
decision_note
created_at
updated_at
Important AI Notice
AI Assistance Does Not Reduce Author Responsibility
Authors are responsible for every claim, citation, figure, table, method, result, conclusion and declaration in the final submitted work. AI tools cannot accept responsibility for scholarly integrity.
Responsible AI Use
Use AI Carefully, Disclose Honestly and Verify Everything
Responsible AI use can support academic communication, but fabricated scholarship, hidden AI misuse and confidentiality breaches can seriously damage trust.
AI Use Policy FAQ
Frequently Asked Questions
Basic questions about AI-assisted writing, disclosure, authorship, references, peer review confidentiality, AI detection and post-publication handling.
Can authors use AI tools for academic writing?
Authors may use AI tools responsibly for limited assistance such as grammar, readability, translation or organization, but they remain fully responsible for accuracy, originality, citations and disclosure.
Can AI tools be listed as authors?
No. AI tools cannot be listed as authors because they cannot take responsibility for scholarly content, ethics, copyright, conflicts or accountability.
Should AI use be disclosed?
Meaningful AI assistance should be disclosed where it affects drafting, translation, analysis, images, code, data processing or scholarly content.
Are AI-generated references acceptable?
No. References must be real, verified and relevant. AI-generated fabricated references are a serious integrity concern.
Can reviewers use AI tools?
Reviewers must protect confidentiality. They should not upload unpublished manuscripts or review material into unsafe AI tools without authorization.
Can AI-detection tools decide rejection?
No. AI-detection tools are not final proof. Editorial decisions should be evidence-based and should consider author response and content integrity.
Can AI-generated images be used?
AI-generated or AI-edited images may require disclosure and must not misrepresent research evidence, data, copyright or permissions.
What happens if AI misuse is found after publication?
The publisher may handle the matter under corrections, retractions, publication ethics, plagiarism or withdrawal policies depending on the issue.
Policy Pathway
Related Policies, Author Actions and Trust Pages
This policy is connected with UnivColl Publications' wider publishing ecosystem, including author guidance, editorial independence, publication ethics, metadata readiness and official support routes. Use the related links to move to the next practical step without relying on disconnected or informal information.
Author Guidelines
Open related page
Authorship Change Request
Open related page
Conflict of Interest
Open related page
Submit Manuscript
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Policies and Guidelines
Open related page
Publication Ethics
Open related page
Peer Review Policy
Open related page
Contact Publisher
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Transparency and Responsible Publishing
Policy Use Does Not Create Publication or Indexing Guarantees
UnivColl Publications uses policy pages to support transparent communication, fair editorial handling, author awareness and scholarly record integrity. Submission, payment, policy compliance or support communication must not be treated as a promise of acceptance, indexing, citation, ranking or any third-party database outcome.
Publication Ethics
Editorial and publication decisions should remain evidence-based, policy-led and independent.
No Guaranteed Acceptance
Acceptance depends on scope, originality, review suitability, ethical compliance and editorial decision.
Metadata Ready
Published records may be supported with structured metadata, DOI references and correction workflows where applicable.
Documented Support
Queries should include manuscript ID, DOI, transaction reference or policy concern details where available.