The incorporation of Artificial Intelligence tools into the academic context has expanded possibilities for organization, textual review, and technical support in scientific production. However, their use requires clear criteria to ensure responsibility and integrity.
AI does not replace intellectual authorship, critical analysis, or methodological rigor. Responsibility for the content remains fully attributed to the authors and editorial bodies involved in the evaluation process.
Good practices include transparency regarding the use of automated tools, human verification of generated outputs, and adherence to ethical standards and editorial guidelines. Technical supervision is essential to prevent distortions, inconsistencies, or uncontrolled automated production.
Within the Acervo+ ecosystem, the use of Artificial Intelligence is understood as an auxiliary resource, subordinated to the principles of scientific integrity, traceability, and editorial responsibility. The careful adoption of these technologies reflects the institutional commitment to responsible innovation and scientific quality.