AI-Policy for Authors

Generative AI technologies are changing the way we use and retrieve information and knowledge. Santhet (Jurnal Sejarah Pendidikan dan Humaniora we are confident that artificial intelligence brings opportunities to further our mission of increasing the visibility, discoverability, and impact of academic research. At the same time, we are aware of the challenges and risks that come with the advances in generative AI technologies.

Generative AI is evolving quickly, and we will be regularly reviewing and updating these guidelines, to enable our authors to use AI tools in a secure and ethical manner.

As of September 2026

Authorship

We do not accept papers (journal articles, book chapters, etc.) that are generated by Artificial Intelligence (AI) or Machine Learning Tools primarily because such tools cannot take responsibility for the submitted work and therefore cannot be considered as authors. Authors remain fully accountable for any work submitted.

What Does Authorship Mean?

Authorship, in its simplest form, endows the author of a work with the credit of its creation. With this credit, however, also comes the responsibility and accountability for the published piece and its content.

At De Gruyter, we strongly support that any individual who has substantially contributed to a published paper or work is given the appropriate credit. We also believe authorship should more clearly define the scope of each author’s contribution to a project.

Who is an Author?

An author is an individual who meets the following criteria:

  • Has provided a substantial contribution to the concept or execution of a published piece, data acquisition, analysis or interpretation, guidance, writing, or critical revision of the work;

  • Is accountable for the submission and is willing to take responsibility and ownership for the originality, accuracy, and integrity of the work as a whole;

  • Will only receive authorship credit once approval for the final version has been given.

In the case of co-authors, each author must be able to identify which co-author is responsible for different elements of the work and be willing to take responsibility for their respective contributions to a piece.

If an individual does not meet these criteria, they do not have authorship and are therefore not considered authors. Those who do not meet these criteria should still receive acknowledgement for their contribution to the published work.

Who is a Corresponding Author?

An individual who acts as an intermediary between the authorship team and the publishing house, and who handles the following:

  • Communication with the co-authors throughout the submission, review, and production process regarding the status of the manuscript;

  • Final approval from all authors which is submitted to them directly;

  • Is responsible for taking accountability for the originality, ownership, accuracy and integrity of every part of a work.

A corresponding author who signs the Publisher’s Agreement is legally responsible and grants exclusive rights for the use of an article. The corresponding author must be authorised by all co-authors to sign the Publisher’s Agreement on their behalf and must communicate all the terms of the Agreement with them.

Who is a Gift Author?

A gift author is an individual who has received authorship but has not met any of the criteria to be recognised as an author. This is seen as an unethical practice. Someone is considered a gift author when:

  • The individual in question has made no intellectual contributions to the manuscript

  • Has made a contribution but does not meet any of the criteria for authorship

AI & Authorship

Please note that we do not accept papers that are generated by Artificial Intelligence (AI) or Machine Learning Tools primarily because such tools cannot take responsibility for the submitted work and therefore cannot be considered as authors. Where such tools or technologies are used as part of the design or methodology of a research study, their use should be clearly described in an acknowledgements section.

Anonymous Authorship

Our default expectation is that all scholarly articles clearly name their authors to ensure credit is properly assigned. However, in rare and exceptional circumstances, anonymous authorship may be considered where the publication of an author’s identity presents a credible risk to their life, liberty, or personal safety.

This includes, for example:

  1. Scholars working in politically sensitive or repressive environments
  2. Researchers publishing on highly controversial or high-risk topics
  3. Individuals facing verified threats of violence, harassment, or state persecution.

Requests to publish anonymously will not be granted lightly, and the Publisher and Editor retain full discretion in each case.

Requests must be submitted before acceptance and will be assessed on a case-by-case basis by the journal Editor-in-Chief in consultation with the Publisher’s Ethics Office.

Authors will be asked to:

  1. Provide a written rationale describing the potential risk
  2. Supply legal identity and institutional affiliation (if applicable), to be held in confidence
  3. Sign all required publishing and copyright documentation under their legal name.

If approved, the identity of the author(s) must still be known to the journal and publisher and will be treated as confidential.

The published article will include an editorial footnote, such as: “The identity of the author(s) is known to the journal and publisher but has been withheld for reasons of personal safety.”

This policy is aligned with international best practice, including guidance from COPE, and is intended to balance academic integrity with human rights and researcher security.

Authors are advised that, while De Gruyter Brill will make every effort to protect anonymity, no system can guarantee absolute confidentiality.

Non-Author Contributions

While an individual may have contributed to a piece and failed to meet the bar for authorship, their contributions towards the work must still be recognised. People who must receive an acknowledgement credit include those who were involved in any of the following:

  • Acquired funding

  • Supervised the research

  • Provided administrative support

  • Were involved with technical editing, language editing, proofreading, or some other aspect of the writing process

    Disclosure

    If Artificial Intelligence (AI) or machine learning tools or technologies are used as part of the design or methodology of a research study, their use should be clearly described in an acknowledgements section.

    The use of AI tools must be disclosed when their output has significantly contributed to any part of your manuscript. The use of such tools for simple proofreading and copy-editing does not have to be declared.

    Document which AI tools you use and how you use them throughout your research and writing process. Starting this process early will make it easier to keep track and add the right disclosures later on.

    For the purposes of this policy, generative AI tools and large language models (LLMs) are systems that create or transform substantive content (e.g., text, images, code, audio, or data) in response to prompts. Examples include ChatGPT, Copilot, Gemini and others, image generators such as Midjourney or DALL-E, and code assistants like ClaudeCode or Cursor.

    AI Generated Images

    We permit the use of Generative AI tools to create images, including cover images and illustrative images within manuscripts if it is compliant with the law. However, authors must disclose the use of any AI-generated or AI-assisted images at the time of submission so that appropriate labelling and transparency requirements can be met.

    The use of Generative AI to create, alter, manipulate, or enhance research data, figures, or experimental images is not permitted. The creation or modification of experimental images (including deep fakes) using AI is considered unethical and is strictly prohibited, as it may compromise the integrity and reliability of the scientific record.

    Rights, Privacy and Accuracy

    As a default, you should assume that everything you enter into an AI system can be stored, processed, and used for training. There are differences between individual tools and sometimes there is a possibility to minimize data processing through settings, but in general, make sure you do not input personal, confidential, or sensitive data.

    If possible, choose tools where you can:

    • Disable the storage of data for training
    • Turn off the memory or tracking history
    • Delete your chat history

    Copyright

    Do not input any copyrighted material into any AI systems. Copyrighted texts may only be fed into AI if the rights owner has granted you the right to do so, and / or if you can make sure that it is not saved and / or used for further AI training.

    Always read the terms and conditions of the tools that you choose to use and don’t use any dubious tools.

    Privacy & Confidentiality

    Always keep applicable data privacy legislation in mind when interacting with any AI tool and inputting any information. If you are in Europe, for instance, refer to the EU AI Act and the GDPR compliance guidelines.

    Accuracy

    AI can make mistakes. Proof generated output thoroughly for any inaccuracies or biases. Always make sure to fact-check results. As an author you are solely and fully responsible for the work you submit to us, including any parts produced by an AI tool, and are thus liable for any breach of publication ethics.

    Peer Review

    The manuscript or any parts thereof should not be entered into AI systems, such as Chat GPT, Grammarly, etc. Verifying how these platforms handle data is impossible; thus, any uploads may compromise the authors’ confidentiality, proprietary or data privacy rights, which does not comply with our publishing standards.

    Peer review requires critical thinking and nuanced assessment, tasks that fall beyond the capabilities of generative AI and AI-assisted technologies (prone to generate incorrect, incomplete, or biased conclusions). Therefore, the responsibility for peer review lies exclusively with humans.