Artificial Intelligence Policy

Guidelines for Responsible AI Usage in Innovations in Language Education and Literature

For Authors

A. Ethical and Responsible Use

  1. Authors must clearly disclose any use of artificial intelligence (AI) tools during the research process, including data processing, analysis, or writing assistance. Any AI-generated or AI-assisted content integrated into the manuscript must be transparently reported and appropriately attributed.
  2. Authors are required to comply with applicable privacy and data protection regulations, especially when AI tools involve personal, sensitive, or identifiable data.
  3. Authors must take responsibility for identifying and mitigating potential biases in AI systems to support fairness, validity, and impartiality of research outcomes.
  4. All AI-generated or AI-assisted content must respect intellectual property rights and copyright regulations.

B. AI in Research Methodology and Data Analysis

  1. Authors should critically evaluate the appropriateness of using AI tools, considering accuracy, reliability, and alignment with research objectives in educational contexts.
  2. Any findings produced with AI assistance must be validated through established research procedures to ensure scientific rigor and reproducibility.
  3. The journal encourages the use of interpretable AI tools that provide explainable outputs to support methodological clarity and enhance understanding of research findings.

C. Academic Integrity and Originality

  1. AI assistance must be transparently acknowledged following accepted academic citation and disclosure standards.
  2. Manuscripts submitted to ILEre must reflect the authors’ original intellectual contributions, analysis, and scholarly reasoning and should not rely solely on AI-generated material.

D. Transparency in Peer Review and Collaboration

  1. Authors must disclose any AI use relevant to the peer review stage or collaborative work to support transparency and scholarly accountability.
  2. Collaborative research teams should establish clear agreements regarding AI usage, data management, and authorship responsibilities at the beginning of the project.

For Reviewers

Reviewers must treat manuscripts as confidential documents. Uploading manuscripts into AI platforms may violate confidentiality, proprietary rights, and data protection principles, especially if personal or sensitive data is included. Reviewers bear full responsibility for all evaluation content they generate.


For Editors

Editors must maintain confidentiality of all submitted manuscripts and must refrain from uploading manuscript content into generative AI tools to prevent potential breaches of privacy, confidentiality, and ethical publishing standards.