Artificial Intelligence and Automated Tools Policy
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Artificial Intelligence and Automated Tools Policy
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 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 that contributes to the design, methodology, analysis, interpretation or generation of content must be declared. The declaration must identify the tool and version used, its purpose, stage of application and human verification procedures. When applicable, it must include the procedures or instructions necessary to facilitate reproducibility. Routine uses for spelling, language correction, editing or formatting do not require a separate declaration when they do not modify the intellectual content. Translation or substantial transformation of content through AI must be declared when applicable.
Substantially AI-generated content may not be presented as the authors' own work, unverified references may not be incorporated, and data or results may not be fabricated or manipulated. AI must 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 these tools. Any authorised use must remain under human responsibility and supervision.
Institutional Use of Automated Tools
The journal may use supporting tools to detect similarities, duplication or other potential irregularities. Their application must be transparent, previously evaluated and supervised by the editorial team. No automated result will, by itself, determine acceptance, rejection or an action for suspected 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.