Heredia Declaration: Principles on the use of Artificial Intelligence in scientific publishing

 

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Detalles Bibliográficos
Autores: Penabad-Camacho, Liana, Penabad-Camacho, María Amalia, Mora-Campos, Andrea, Cerdas-Vega, Gerardo, Morales-López, Yuri, Ulate-Segura, Mónica, Méndez-Solano, Andrea, Nova-Bustos, Nidya, Vega-Solano, María Fernanda, Castro-Solano, María Milagro
Formato: otros
Estado:Versión publicada
Fecha de Publicación:2024
Descripción:Introduction. From the perspective of scientific publishing, the Heredia Declaration proposes a series of considerations for the responsible use of Artificial Intelligence (AI) in the research processes that lead to scientific publication. AI is recognized as a tool whose use must be evident and transparent for a clear, traceable, and reproducible communication of knowledge. Attention is drawn to the challenges posed by the inclusion of AI into scientific publishing regarding the diversity of options, avoiding the spread of bias and misinformation, and respect for intellectual property. Principles. They are organized into four groups: general, for authorship, peer review, and editing roles. These principles highlight the importance of using AI as a tool, its results must be filtered by human beings and from an ethical and responsible perspective, transparently reporting which model was used, what was consulted, and when the consultation was made. Final reflection. It shows that it is a constantly evolving scenario whose goal must be human well-being and quality of life.
País:Portal de Revistas UNA
Institución:Universidad Nacional de Costa Rica
Repositorio:Portal de Revistas UNA
Lenguaje:Español
Inglés
Portugués
OAI Identifier:oai:ojs.www.una.ac.cr:article/19967
Acceso en línea:https://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/19967
Palabra clave:Scientific edition
editorial management
artificial intelligence
ethics
scientific communication
Edición científica
gestión editorial
inteligencia artificial
ética
comunicación científica
Publicação científica
gestão editorial
inteligência artificial
comunicação científica