Potentialities and Limitations in the Use of Artificial Intelligence

The Journal of Physical Education is committed to excellence, integrity, and transparency in the publication of scientific research. We recognize the growing role of artificial intelligence (AI) in research and scientific communication and encourage its responsible and ethical use by authors, reviewers, and editors.

Use of Artificial Intelligence

The Journal of Physical Education uses AI tools to optimize editorial processes, such as the initial screening of manuscripts, similarity checking, and plagiarism detection, as well as to assist in data analysis, peer review and to improve the  textual quality of its guidelines and editorial policies. We believe that AI can significantly contribute to the efficiency and quality of the editorial process.

Recommendation to Authors

We encourage authors to use AI tools in their research and manuscript preparation, provided that the use of these technologies is clearly described and justified in the text. This includes, but is not limited to, statistical analyses, data mining, and graph generation. Transparency in the use of AI is essential for the reproducibility and credibility of scientific research.

Recommendation to Reviewers

Reviewers are encouraged to use AI tools to assist in the evaluation of manuscripts, such as data verification and text analysis software. However, the final decision should always be based on human judgment, considering the context and quality of the presented research.

Ethical Principles

The use of AI in the Journal of Physical Education is guided by the following ethical principles, in alignment with the recommendations of UNESCO and COPE for authors and for editors in decision-making:

  1. Transparency: The use of AI must be clearly communicated to all involved in the editorial process. Authors should describe the use of AI in their manuscripts, and editors should inform reviewers about any AI tools used in the screening or evaluation of submissions.

  2. Responsibility: Editors and reviewers are responsible for ensuring that the use of AI is ethical and does not introduce biases or errors into the editorial process. All critical decisions must be validated by human reviewers.

  3. Accuracy and Reliability: AI tools must be validated to ensure they produce accurate and reliable results. Errors or biases introduced by AI should be identified and corrected.

  4. Fairness and Impartiality: The use of AI should not introduce discrimination or biases in the review and publication processes. AI tools should be regularly evaluated to ensure they promote fairness.

  5. Privacy and Confidentiality: Protecting the privacy of authors, reviewers, and study participants is a priority. AI technologies should respect the confidentiality of personal and sensitive information.

  6. Human Oversight: Critical decisions in the editorial process must be reviewed and approved by human editors, ensuring the integrity and quality of publications.