AI Policy

AI Policy

If AI tools are used in the preparation of a manuscript submitted to the Journal of Learning Sciences and Education, authors must follow our AI policy guidelines regarding Authorship, Disclosure, and Responsible Research. Starting on November 1, 2024. 

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The American Psychological Association (APA) established a policy on the use of AI tools (APA Journals Policy on generative AI) as a guide to the management of academic journals.  Click

We have considered the APA criteria and strongly believe that our journals are required to announce their AI policy in order to define the AI policy guidelines relating to authorship, disclosure and responsible research. The following are details:

1. Author

1.1. In any case, authors are prohibited from using AI (AI-generated content)* to create or compose content in the manuscript, as the journal is based on the importance of human knowledge and disseminates academic works that truly reflect human understanding. The journal expects a high level of quality and creativity in terms of academic and ethical standards.

1.2. Authors are prohibited from crediting AI as authors or co-authors because the work created by AI is not the work created by human authority or the creative power of mind, and Thailand's copyright law only affects the work created by humans.

1.3. If artificial intelligence is used in study processes, the author is responsible for the accuracy of the content and information of the article submitted to the journal. The AI ​​tool information must be clearly specified and informed. The author must indicate the name of the model or tool, version number and manufacturer in the footnotes of the manuscript and submit all prompts and output to the journal.

1.4. Authors should use the APA (Software Citation) Citation Guidelines when citing AI.

1.5. Authors can use AI to proofread and edit languages, improve linguistic coordination, and improve the grammar of manuscript. 

1.6. Authors can use AI to detect plagiarism and manage reference. 

1.7. The authors must be aware and responsible for the confidentiality of the data used in the AI system, because companies that produce the AI may have access to such confidential or sensitive information. In particular, information on the identity of researchers or volunteer, personal contact information and other intellectual property rights affecting the copyright of works incorporated by the author in the content.

2. Editors

2.1. Editors must immediately reject the manuscript if it has been created or composed using AI-generated content tools. 

2.2. Editors must keep all prompts and outputs confidential.

2.3. Editors are not allowed to import data from unpublished manuscripts into the AI ​​system to prevent copyright infringement of other copyrighted works. Because some AI models can learn and recognize these copyrighted images and information and use them to create other works, which is contrary to the principles of protecting other copyrighted works.

3. Reviewers

3.1. The reviewer must understand that the manuscript submitted to the journal for review is a secret. Reviewers are prohibited from importing unpublished original data into the AI ​​system to prevent copyright infringement of others' works protected by intellectual property laws.

3.2. Under no circumstances can manuscript reviewers import communication data with editors and comments into the AI ​​system to create analyses, summaries or reviews. This is because journals need to prevent the creation of false and biased summaries or references to AI-simulated sources to prevent any influence on the academic community and journal standards.

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* Note: "Using AI (AI-generated content) to create content in the manuscript" means using AI (AI-generated content) to create or compose content in the manuscript without the author's idea, analysis, or creation. For example, text generation, image synthesis and creation, audio synthesis and creation, synthetic data, and creation of tables, graphics and diagrams. Create lesson plans and create questions and answers for tests and quizzes, etc.

We encourage writers to consider the potential risks associated with the incorporation of artificial intelligence into manuscripts. It can be expressed in the following concise way:

1. Inaccuracy and bias

Generation Artificial Intelligence (Generative AI) uses statistical data to process information. Some of the information generated may be inaccurate or biased. It is not appropriate to use it to present academic work, especially sensitive information that affects others.

2. Lack of attribution

In general practice, Generative AI often lacks and tends to try to present realistic or reliable information. In some cases, AI is actually able to present these misunderstandings, theories, or practices, without identifying the source of information. If the author is not able to summarize and evaluate the accuracy of the information. It is possible for authors to use the information to distribute to the academic community and this has a wide negative impact.

3. Confidentiality and Intellectual Property Risks

Generation AI is a third-party platform that allows people who are not related to the content of the authors to access the data. This poses a risk to the confidentiality of the information contained in the article and the risk of infringement of intellectual property.

4. Unintended uses

Some authors may input or output data via AI system to process and plan manuscript revisions, particularly comments and suggestions from journals’ editors and manuscript reviewers. Such operations are therefore inexorably infeasible. This is because journals are regarded as importing information that is considered to violate personal rights and maintaining journals’ confidentiality.

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Summarized from "AI Policy” by Taylor & Francis Publishing Click