Artificial Intelligence (AI) Usage Policy

Responsible Use of Artificial Intelligence

Artificial Intelligence (AI) & Generative AI Policy

Journal of Health Literacy and Qualitative Research supports responsible AI use while maintaining human accountability, research integrity, confidentiality, transparency, participant protection, and methodological rigor.

HUMAN ACCOUNTABILITY AI DISCLOSURE CONFIDENTIALITY
✓ AI may assist manuscript preparation. ✓ Meaningful AI use must be disclosed.
✓ Authors remain fully responsible for all content. ✕ AI tools cannot be authors or co-authors.
✕ Reviewers/editors must not upload confidential manuscripts or participant data to AI. ✕ AI must not replace human scientific or editorial judgment.
1. Use of AI by Authors

Authors may use generative AI or AI-assisted technologies to support activities such as language improvement, literature organization, idea development, transcription support, translation assistance, qualitative coding support, thematic organization, health-literacy data exploration, or manuscript preparation. AI tools must not replace the authors' critical thinking, scholarly judgment, qualitative interpretation, reflexivity, contextual understanding, or original contribution.

Authors are responsible for:

  • verifying factual accuracy and checking references generated by AI;
  • reviewing and substantially editing AI-assisted content;
  • checking for bias, hallucination, fabricated citations, invented quotations, or misleading health information;
  • protecting confidential participant information, interview transcripts, field notes, patient or community data, audio/video files, personal narratives, copyrighted materials, and unpublished information;
  • independently verifying AI-assisted transcription, translation, coding, categorization, thematic analysis, summarization, or interpretation; and
  • ensuring that the final manuscript represents the authors' own scholarly work.
Important: Authors remain fully responsible for the accuracy, originality, integrity, ethical compliance, and faithful representation of participants and qualitative evidence in all submitted content, regardless of whether AI tools were used.
2. AI Disclosure

Meaningful use of generative AI in manuscript preparation must be disclosed in a separate AI Declaration. The declaration should identify the tool used, its purpose, and the extent of human review and oversight.

Suggested AI Declaration
The authors used [tool/model name] for [specific purpose]. All AI-assisted outputs were critically reviewed, verified, and substantially revised by the authors. The authors take full responsibility for the accuracy, integrity, originality, and ethical appropriateness of the manuscript.

Basic spelling, grammar, or punctuation checks do not normally require disclosure. If AI forms part of the research method, transcription, translation, qualitative coding, thematic analysis, content analysis, health-literacy assessment, data classification, mixed-method analysis, or other analytical procedures, its use must be described in sufficient detail in the Methods section.

3. AI and Authorship

AI tools, chatbots, and language models must not be listed as authors or co-authors. Authorship requires human responsibility for the integrity of the work, approval of the final manuscript, accountability for its content, and the ability to respond to questions regarding participant recruitment, qualitative data, health-literacy interpretation, methods, and conclusions.

4. AI-Generated Images, Figures & Artwork

Generative AI must not be used to create, manipulate, obscure, remove, or introduce features in research photographs, participant images, screenshots, interview evidence, figures, diagrams, or other visual materials in a manner that misrepresents participants, contexts, findings, or the underlying research evidence.

An exception may apply when AI-assisted imaging, visualization, image analysis, or synthetic-media evaluation is itself part of the research design or methodology. In such cases, authors must describe the tool, model/version, procedure, inputs, validation, ethical safeguards, and its role in generating or interpreting research data in the Methods section.

5. Use of AI by Reviewers

Submitted manuscripts are confidential documents. Reviewers must not upload manuscripts, manuscript excerpts, interview transcripts, participant quotations, field notes, health information, audio/video materials, supporting files, or review reports into public generative AI systems.

Peer review is a human scholarly responsibility. AI tools must not be used to generate scientific assessments, independently interpret qualitative findings, assess participant narratives, evaluate methodological trustworthiness, or determine review recommendations. Reviewers remain personally responsible for the content, accuracy, fairness, sensitivity, and integrity of their reports.

6. Use of AI by Editors

Editors must not upload submitted manuscripts, confidential correspondence, reviewer reports, author responses, participant information, interview transcripts, unpublished health data, qualitative datasets, or editorial decision letters into public generative AI systems.

AI must not replace human editorial judgment or be used to determine acceptance, revision, or rejection. Editors remain fully responsible for editorial evaluation, reviewer selection, confidentiality management, ethical assessment, communication, conflict-of-interest management, and final publication decisions.

7. AI in the Publication Workflow

The journal may use appropriately controlled AI-assisted technologies for limited technical and administrative purposes, with human oversight.

✓ Technical submission checks ✓ Duplicate-submission detection
✓ Research-integrity screening ✓ Reviewer matching support
✓ Copyediting and production assistance ✓ Identification of technical inconsistencies
Human oversight remains mandatory throughout all editorial and publication processes.

Violations & Consequences

Misuse or undisclosed use of AI may be handled under the journal's publication-ethics procedures. Examples include fabricated references, invented participant quotations, fabricated interviews, unauthorized processing of confidential health information, undisclosed AI-generated coding or thematic analysis, false translations, manipulated qualitative evidence, or inappropriate dependence on AI-generated interpretation. Depending on severity, actions may include request for clarification, manuscript rejection, correction, retraction, institutional notification, or restrictions on future submissions.

Policy Governance

This policy follows principles of transparency, accountability, confidentiality, human oversight, fairness, intellectual-property protection, participant privacy, health-data protection, qualitative research integrity, reflexivity, and responsible interpretation. It will be reviewed periodically as AI technologies, qualitative-research practices, health-literacy scholarship, and international publication standards evolve.