Authors should submit manuscripts through the Open Journal Systems (OJS) platform. Complete metadata must be provided for every author, including institutional affiliation, ORCID iD, and email address.

Within approximately thirty days, the Editorial Team will notify authors whether the manuscript has passed the initial editorial assessment.

Only submissions that fit the aims of the journal and meet the required scholarly standards will proceed to external double-blind peer review.

• Must be original, unpublished work, and not under review elsewhere.
• Accepted languages: Catalan, Spanish, English, French, Portuguese, and Italian.
• All manuscripts must be rigorously anonymised to ensure an unbiased review process.

• Figures and tables must be numbered consecutively throughout the manuscript.
• Every illustration requires a descriptive caption and clear citation of its source.
• AI-generated images must indicate the model, generation date, and prompt whenever possible.

1. References
2. Tables
3. Figures

In-text Citations

Reference List Rules

• Use & (or and depending on original language guidelines) between authors.
• Titles of articles must be enclosed in single quotation marks.
• Book and journal titles must be in italics.
• Provide DOIs formatted as hyperlinks (e.g., https://doi.org/xxxxx).
• Online resources must include an access date.

Examples

• Adherence to the COPE (Committee on Publication Ethics) Code of Conduct.
• Absolute intolerance of plagiarism, self-plagiarism, and redundant publication. All submissions undergo routine plagiarism screening during the editorial assessment phase prior to external peer review.
• No honorary or guest authorship; all authors must have contributed substantially.
• Mandatory disclosure of any potential conflicts of interest.
• Commitment to research integrity, data transparency, and academic rigor.

To ensure the long-term preservation and accessibility of its scholarly content, AI & Antiquity participates in the PKP Preservation Network (PKP PN). This service provides secure, decentralized preservation of published articles and supports permanent access to the journal's academic record.

10. Peer Review Process

As reflected in its title, AI & Antiquity is committed to fostering a thoughtful dialogue between artificial intelligence and the study of the ancient world. The journal recognizes AI both as an emerging subject of scholarly inquiry and as a valuable set of tools capable of enriching research, teaching, and academic communication. At the same time, it reaffirms that originality, critical judgment, ethical responsibility, and scholarly accountability remain exclusively human responsibilities.

This section summarises the practical requirements for submission. It should be read together with the journal's full AI & Scholarship statement, which sets out the underlying principles in detail — including the journal's position that responsible AI use and principled non-use are equally legitimate, and that neither will advantage or disadvantage an author in editorial evaluation.

• Generative AI tools may be used as supportive aids for research, translation, language revision, coding, data analysis, and other scholarly workflows. Authors are equally free to prepare their work without AI assistance; this choice will not be treated as a mark of professional deficiency or as evidence of methodological superiority.
• AI systems cannot be credited as authors. Authorship requires intellectual responsibility, scholarly judgment, and accountability, which remain exclusively human responsibilities.
• Authors remain fully and solely responsible for the originality, accuracy, integrity, and legality of all submitted content, regardless of any AI assistance used during its preparation.
• What must be disclosed: any substantial use of generative AI must be disclosed upon submission, including the tool used, version (where available), purpose of use, and the sections of the work affected. Substantial use means AI assistance that materially contributes to the generation, analysis, interpretation, organisation, or presentation of scholarly content. Routine functions such as spelling correction, basic formatting, reference-management automation, or standard software features do not normally require disclosure unless they materially affect the intellectual content of the work.
• Authors are responsible for verifying all AI-generated content, including factual claims, citations, translations, data interpretations, code, and visual materials.
• The journal does not rely on automated AI-detection tools, writing style, vocabulary, or subjective impressions of fluency as sufficient evidence of undisclosed AI use or academic misconduct. Concerns regarding originality or integrity must be supported by relevant evidence and will be assessed through editorial evaluation, plagiarism screening, and peer review; where a substantive concern arises, the author concerned will normally be given an opportunity to respond before any conclusion is reached. The journal does not permit suspicion of AI use to be used as a means of harassment, insinuation, or reputational harm.
• Editors and reviewers may use AI-assisted tools only when confidentiality, data protection, and manuscript security can be fully guaranteed. Unpublished manuscripts, reviewer reports, and other confidential materials must not be entered into external AI systems where this would compromise confidentiality. Human experts retain full responsibility for all editorial and review decisions.
• Consistent with its mission to foster dialogue between artificial intelligence and Ancient Studies, AI & Antiquity supports the critical, transparent, and proportionate use of AI technologies in research, teaching, and scholarly communication, in accordance with the principles of academic integrity, openness, and scientific rigor — while fully respecting the decision of any author, reviewer, or editor not to use AI at all.

Authors retain full copyright of their published works without restriction. Submission to and publication in AI & Antiquity does not entail the transfer of copyright or the granting of any exclusive publishing or commercial rights to the journal or its publisher. By accepting publication, authors grant AI & Antiquity and the Center for Innovation in Ancient Worlds (CIAW) a non-exclusive, perpetual licence to publish, reproduce, distribute, preserve, index, archive, and identify the published work as the Version of Record, together with the right of first publication.

All scholarly articles are published under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) licence. This licence permits any user to read, download, copy, distribute, reproduce, transmit, adapt, and build upon the published work for non-commercial purposes, provided that appropriate credit is given to the original author(s), AI & Antiquity, and the licence. No additional legal or technical restrictions are imposed beyond those contained in the Creative Commons licence itself.

Because authors retain copyright, they remain free to reuse, reproduce, disseminate, and archive their own work without restriction. Authors may immediately deposit the published Version of Record in institutional or subject repositories, personal websites, academic social networks, or other non-commercial platforms, provided that the original publication in AI & Antiquity is fully acknowledged through an appropriate bibliographic citation.

Where an article incorporates third-party material not covered by the Creative Commons licence, the copyright status of such material shall be clearly identified within the article. Users are responsible for obtaining any permissions required for the reuse of content that is not included under the article's open licence.

AI & Antiquity, its title, logo, typographic identity, website design, and associated visual identity are trademarks and intellectual property of the Center for Innovation in Ancient Worlds (CIAW). These rights are entirely independent of the copyright retained by authors in their individual scholarly works and may not be reproduced or used in any manner that implies endorsement, affiliation, or authorship without the prior written permission of CIAW.