Policy on Artificial Intelligence and Automated Tools
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Policy on Artificial Intelligence and Automated Tools
Ecos de la Academia follows the CRITERIA framework (Codina et al., 2026) to promote the transparent, ethical and responsible use of artificial intelligence (AI), complemented by guidance from COPE and the ICMJE on integrity, confidentiality and editorial oversight.
Authors
AI may not be listed as an author or co-author. Authors assume full responsibility for the originality, accuracy, integrity and content of the manuscript, preserving their own scientific reasoning and critically supervising any output generated through AI.
Any substantial use of AI involved in the design, methodology, analysis, interpretation or generation of content must be disclosed. The disclosure shall identify the tool and version used, its purpose, the stage at which it was applied and the human verification procedures employed. Where appropriate, it shall include the procedures or instructions necessary to facilitate reproducibility. Routine uses for spelling or language correction, editing or formatting do not require a separate disclosure when they do not modify the intellectual content. Substantial translation or transformation of content using AI must be disclosed where applicable.
Substantially AI-generated content may not be presented as the authors' own work, unverified references may not be included, and data or results may not be fabricated or manipulated. AI shall not be cited as an authorial source, although it may be identified as a research tool or object of study.
Reviewers and Editors
Reviewers and editors must preserve the confidentiality of manuscripts and materials submitted for evaluation. They may not enter confidential information into AI systems without adequate protection safeguards and the corresponding authorisations, nor may they delegate their reviews or editorial decisions to such tools. Any authorised use must remain under human responsibility and supervision.
Institutional Use of Automated Tools
The journal may use support tools to detect similarities, duplications or other potential irregularities. Their application must be transparent, previously evaluated and supervised by the editorial team. No automated result shall, by itself, determine acceptance, rejection or an action concerning alleged misconduct.
Codes, instructions, protocols or other resources used with AI may be linked as open science objects when their dissemination is appropriate and complies with ethical, legal and confidentiality obligations.