Exploración e interpretación de datos bibliométricos actuales: implicaciones éticas de la inteligencia artificial.
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Este estudio se sumerge en los datos bibliométricos de la ética de la IA y explora las diferentes conclusiones con respecto a las implicaciones éticas de la IA para responder cuál es el estado actual del conocimiento sobre los dilemas éticos que trae la IA, al tiempo que discute cuáles son los principios éticos o conclusiones que se están identificando como éticos en la implementación de la IA. Al recopilar los datos de Scopus y Web of Science, utilizando palabras clave de ética, IA, negocios y sociales, para poder identificar las implicaciones éticas de la IA tanto en la sociedad como en las empresas. Luego, analizándolos utilizando Litmaps, Tree of Science, Core of Science y Vos Viewer. Concentrarse en diferentes fuentes del campo revela información importante de la ética de la IA: los países que están investigando el tema, las revistas, los años de publicación, las principales palabras clave dentro del campo y otros campos o áreas de estudios relacionados con él. Las observaciones pueden servir como posibles direcciones para futuras investigaciones, políticas y más.
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