Artificial Intelligence Policy

Transparency and human oversight of AI use

This policy covers generative, predictive, and analytical artificial intelligence used in design, searching, collection, material creation, programming, analysis, visualization, translation, writing, review, and production. It applies to public services and tools embedded in academic software.

Authors disclose and validate; reviewers protect confidential content; editors assess transparency and risk; and technical staff use only authorized functions. No automated system replaces human accountability or scientific decision making.

Permitted use

Artificial intelligence may support translation, language editing, programming, exploratory analysis, information search and organization, or auxiliary materials under human supervision.

Mandatory disclosure

Authors must identify the tool, version or date when relevant, purpose, section or stage, scope of intervention, and human verification procedure.

Limits

  • Artificial intelligence cannot be an author.
  • It cannot fabricate data, findings, or references.
  • It cannot conceal plagiarism or deceptively manipulate images.
  • Manuscripts, personal data, or confidential information must not be uploaded to unauthorized services.

Authors retain full responsibility for methods, citations, results, and conclusions. Reviewers must not use generative AI to produce substantive reports or compromise confidentiality.

Use in research

When an artificial intelligence tool forms part of the method—for example, classification, adaptive tutoring, educational content generation, or automated analysis—the procedure must be described in enough detail for assessment and replication. Authors report the name and version, provider, access date, input data, relevant settings, validation, human oversight, performance metrics, known biases, and personal-data handling.

AI outputs are not accepted as evidence by themselves. Authors must verify accuracy, document errors, and compare performance through appropriate procedures. Educational studies should examine, where relevant, effects on learning, equity, privacy, accessibility, and teacher and student autonomy.

Use in writing and presentation

Limited assistance with clarity, grammar, or translation should be disclosed when it materially changes the text. Generation of sections, images, code, analyses, or references requires a specific manuscript disclosure. Outputs must be checked against original sources; nonexistent references and unsupported claims are unacceptable.

An AI tool cannot meet authorship requirements because it cannot approve the final version, disclose conflicts, or assume accountability. Human authors remain responsible for originality, legality, accuracy, and the absence of infringement in all assisted content.

Editorial use

Editors and reviewers must not upload manuscripts or unpublished data to external systems that may store, reuse, or train on the content. Authorized internal functions may be used only with confidentiality, security, and human oversight controls. AI may not independently determine acceptance or rejection.

Concealed substantive use, AI-assisted fabrication of data or references, and deceptive image manipulation are investigated as potential breaches. This policy is reviewed periodically as technology and regulation evolve, while human accountability remains mandatory.

Implementation procedure

  • Identify the tool, provider, version or access date, and specific purpose.
  • Describe inputs, relevant settings, outputs used, and validation when AI forms part of the method.
  • Disclose manuscript sections, images, code, analyses, or translations materially assisted by AI.
  • Check references, facts, calculations, bias, originality, licenses, and possible personal data.
  • Exclude tools from authorship and keep human authors accountable.
  • Do not upload manuscripts, reports, or sensitive data to unauthorized external services.
  • Retain prompts, settings, code, and validation records when needed for reproducibility.

Evidence of compliance

  • A statement of use or absence of substantive AI use.
  • Sufficient methodological description when AI is the object or instrument of study.
  • Documentation of human validation and error correction.
  • Editorial authorization for any internal use processing confidential content.

Editorial verification of AI declarations

Where AI is declared for the analysis of educational evidence, the handling editor shall request information sufficient to assess reproducibility: purpose, inputs, validation procedures, limitations, detected errors, and human oversight. Missing disclosures shall trigger clarification; suspected fabricated citations or data shall be handled under the integrity policy, without treating an automated detector as conclusive proof.

Policy monitoring and review

The policy is reviewed at least annually as technology, regulation, and educational use evolve. The journal may request additional information or validation materials. Deliberate omission, invented references, fabricated data, or deceptive manipulation is handled under the ethics policy.