Artificial Intelligence

Policy on the Use of Artificial Intelligence (AI) in Academic Publishing for the Journal of Health and Rehabilitation Research (JHRR)

Purpose: The JHRR embraces the significant role of Artificial Intelligence (AI) in enhancing academic publishing. This policy establishes ethical guidelines and responsible usage of AI tools in the manuscript submission, review, editing, and publication phases.

Scope: Applicable AI technologies include but are not limited to, machine learning models, natural language processing, automated data analysis, and AI-assisted peer review systems, especially those pertinent to the health and rehabilitation sector.

Definitions:

  • AI: Technologies that simulate human intelligence processes.
  • AI Content: Contributions generated or refined by AI tools.
  • AI-Assisted Decision-Making: Use of AI in editorial decisions.

Policy Details:

Transparency:

  • AI Usage Disclosure: Authors, reviewers, and editors must declare AI usage upon manuscript submission or at the review stage.
  • AI Contributions: Distinctly identify AI's role separately from human inputs.

Ethics and Integrity:

  • AI Ethics Compliance: Ensure AI applications are free from bias, promoting fairness and ethical use.
  • Data Privacy Adherence: AI tools must comply with stringent data protection regulations, safeguarding personal and sensitive data.

Authorship and Acknowledgement:

  • AI in Authorship: AI cannot be an author but should be acknowledged for substantial contributions.
  • Human Responsibility: Authors are ultimately accountable for AI-assisted components in their work.

Quality and Originality:

  • Standards for AI Content: Content generated by AI must uphold the journal's quality benchmarks.
  • Plagiarism Check: AI-generated content is subject to rigorous originality verification.

Review and Decision-Making:

  • AI in Peer Review: Employ AI as a supportive tool for peer review, not as a replacement for human judgment.
  • Transparency in AI Decisions: Editorial decisions influenced by AI tools must be comprehensible and justifiable.

Research Involving AI:

  • Methodology of AI Research: Manuscripts must include a detailed methodological description of AI usage.
  • AI Study Documentation: Provide complete transparency in AI algorithms, data sets, and processes used.

Changes and Version Control:

  • Documenting AI Modifications: Maintain a thorough revision history for AI-involved alterations to manuscripts.
  • Auditability: Ensure traceability and accountability for versions of AI-modified content.

AI Bias and Error:

  • Bias Detection and Correction: Actively seek and correct biases in AI algorithms and data sets.
  • Error Management: Transparently disclose and rectify errors stemming from AI utilization.

Implementation and Oversight:

  • Staff Training: Offer comprehensive training on AI's role in publishing.
  • Policy Monitoring and Review: Regularly assess and update the policy in response to evolving AI capabilities.

Enforcement:

  • Compliance Requirement: Non-adherence to this policy may trigger manuscript rejection, retraction, or other measures, as appropriate.

Review Process:

  • Annual Review: This policy is to be evaluated and updated annually or as AI technology evolves.

By instituting this policy, JHRR ensures ethical AI application in publishing while promoting integrity, innovation, and the advancement of health and rehabilitation research.