Dated 24 June 2026.
We recognize that technology changes at a rapid pace, and we are committed to reviewing this policy as needed. Authors may request a policy review or exemptions for specific cases. Authors with queries or needing clarification are welcome to contact the Editor and/or Associate Editor at any stage of their process.
Eolas reserves the right to reject submissions, including for AI use and infractions of journal policy and guidelines. Authors remain fully responsible for the originality, integrity, and accuracy of their work at all times.
What is AI?
Artificial Intelligence (AI) is a broad umbrella that includes generative AI tools (e.g. ChatGPT, Claude) as well as machine learning algorithms often integrated into research tools. The distinctions between these technologies are porous and blurry; in this document, we use these terms in the following ways:
- Generative AI utilizes Large Language Models (LLMs) to produce derivative content. We refer here both to generalized models as well as custom models that rely on LLMs.
- Machine learning algorithms are trained on specific corpora to analyze data, identify patterns, and apply those patterns in other contexts.
- By “data” we mean any research source or information that has been utilized in assembling your submission as a source of evidence.
Preparing your submission
We do not accept submissions that are generated by Artificial Intelligence (AI) or Machine Learning Tools. AI cannot be listed as an author, co-author, or collaborator.
Writing your submission: we do not accept writing that has used AI or Generative AI. This includes generating text, copy-editing, proofreading, and organizing your writing. We do not accept submissions that use AI in designing a research study, or in design, or methodology. We do not accept submissions that have used AI to generate ideas. This includes in writing and summarizing for Abstracts, and in Appendices/Supplemental Materials. We appreciate that it is difficult to avoid the integration of AI in spell checks and other software built-in tools. In such cases, please refer to the below policy on AI for data processing. Scholars concerned about this issue are encouraged to discuss their concerns with the Editor/s.
Published articles, short reports, or reviews where the use of AI and its technologies and tools is subsequently discovered may be officially retracted.
Data processing in your submission: we understand that machine learning algorithms are used in many fields for processing data e.g. Transkribus for transcribing manuscript text. If you have used AI in data processing, please submit a statement of use and data practices. In this statement, please explain: what the tool/technology has done to or with your data, if the methods you followed are replicable, how AI relates to your data in general, and how the AI has affected your conclusions and outcomes. For reference, please see the Chicago Manual of Style’s advice for documenting AI usage.
We do not accept submissions that have used any AI tools to create, manipulate, or alter images or figures. We appreciate that it is difficult to avoid the integration of AI in software that creates charts and other visualizations. In such cases, please refer to the above policy on AI for data processing. Scholars concerned about this issue are encouraged to discuss their concerns with the Editor/s. You will need to include a footnote in your work that explains your use of AI to the readership.
AI tools may be used as search engines in the preparation of submissions, but should not be the primary discovery tool. Information acquired through AI tools should be verified and cited. Please be aware of ideas, framing, or narrative that might be inherited from the AI tool’s summation of search results.
AI tools may be used in the preparation of bibliographies and citations, so long as they have been verified and checked for accuracy.
If you are using a translation tool that might incorporate AI, please verify your work with a native speaker or fellow expert. Please declare this process at the time of submission.
AI, peer reviews, and reviews
Peer reviewers may not use AI in assessing submissions to Eolas. The peer review process is fundamentally rooted in relationship and scholarly rigor, and delegating to AI is not in keeping with these principles. In addition, submitting another’s work to AI without their knowledge or consent violates the author’s confidentiality and intellectual property rights.
Book and DH reviewers may not use AI in preparing their submission. Published reviews are a conversation between the project creator and the reviewer, and should be produced entirely by human authorship.
The Word version of this policy is available here.