ABSTRACT
En este editorial se exploran los posibles riesgos que representa el uso de la inteligencia artificial para la elaboración de trabajos académicos y científicos. Además, se presenta una lista de riesgos para la investigación científica elaborada por la plataforma ChatGPT con el objetivo de explorar su precisión en la generación de textos.
This editorial explores the possible risks posed by the use of artificial intelligence for the preparation of academic and scientific work. Additionally, a list of risks for scientific research is presented by the ChatGPT platform with the aim of exploring its accuracy in generating texts.
Subject(s)
Humans , Artificial Intelligence/trends , Artificial Intelligence/ethics , Science/ethics , Information Science/trendsABSTRACT
Se ofrece la visión panorámica sobre la inteligencia artificial generativa en el contexto de la comunicación científica desde dos puntos de vista: el de los investigadores y el de los editores de las revistas académicas. También se describen alguno de los retos y oportunidades más significativos de la aplicación de la IA en la comunicación académica y se concluye con una serie de recomendaciones de buenas prácticas
An overview of generative artificial intelligence in the context of scientific communication is offered from two points of view: that of researchers and that of the editors of academic journals. Some of the most significant challenges and opportunities of the application of AI in academic communication are also described and it concludes with a series of good practice recommendations
Subject(s)
Artificial Intelligence/ethics , Scientific Communication and DiffusionABSTRACT
Resumen: El screening mamográfico ha ayudado a identificar el cáncer de mama en sus estadíos más tempranos, cuando los tratamientos son más efectivos. El empleo de la inteligencia artificial (IA) en el análisis de los mamogramas ha demostrado ser capaz de superar la habilidad del ojo humano para detectar lesiones en la mama sospechosas de cáncer. El objetivo del presente trabajo es realizar un aporte reflexivo sobre el avance de la tecnología digital y en particular de la IA en los screening mamográficos, desde el punto de vista técnico y bioético. Se analizan ventajas y limitaciones de la IA, explicando cómo se produce el aprendizaje de los sistemas computacionales. Se propone un debate bioético sobre cuestiones tales como la privacidad, la credibilidad, la responsabilidad y la educación permanente. Se resalta la importancia de establecer canales de diálogo entre todas las partes involucradas en la incorporación de las nuevas tecnologías en medicina.
Abstract: Mammographic screening has helped to identify breast cancer in its earliest stages, when treatment is most effective. The use of Artificial Intelligence in the analysis of mammograms has proved to be able to excel the human eye in detecting lesions in the breast that may be suspicious for cancer. The objective of this study is to make a reflective contribution on the advancement of digital technology and in particular, Artificial Intelligence in mammographic screening, from the technical and bioethical points of view. Advantages and limitations of Artificial Intelligence are analyzed explaining how machine learning occurs. A bioethical debate is proposed on issues such as privacy, credibility, accountability and continuous education. The importance of establishing channels of dialogue between all stakeholders in the incorporation of new technologies in medicine is highlighted.
Resumo: O rastreamento mamográfico ajuda a identificar o câncer de mama em seus estágios iniciais, quando os tratamentos são mais eficazes. O uso da Inteligência Artificial (AI) na análise de mamografias tem se mostrado capaz de superar a capacidade do olho humano em detectar lesões na mama suspeitas de câncer. O objetivo deste trabalho é fazer uma contribuição reflexiva sobre o avanço da tecnologia digital e, em particular, a AI em mamografia, do ponto de vista técnico e bioético. As vantagens e limitações da AI são analisadas explicando como o aprendizado de sistemas computacionais é feito. Propõe-se um debate bioético sobre questões como privacidade, credibilidade, responsabilidade e educação ao longo da vida. Destaca-se a importância do estabelecimento de canais de diálogo entre todas as partes envolvidas na incorporação de novas tecnologias na medicina.
Subject(s)
Bioethics , Breast Neoplasms/diagnostic imaging , Artificial Intelligence/ethics , Mammography , Mass ScreeningABSTRACT
The use of artificial intelligence in public health is growing and getting more presence. This knowledge capsule has the objective of increasing aware on this discipline necessary guiding principles, its components and sub-fields and the uses it has. Although this tool presents a linkage between the artificial intelligence and the eight principles for the digital transformation of public health and propose the main considerations to be taken for its implementation
The use of artificial intelligence in public health is growing and getting more presence. This knowledge capsule has the objective of increasing aware on this discipline necessary guiding principles, its components and sub-fields and the uses it has. Although this tool presents a linkage between the artificial intelligence and the eight principles for the digital transformation of public health and propose the main considerations to be taken for its implementation