Comparación y selección de modelos de IA: un análisis heterodoxo de las condiciones
DOI:
https://doi.org/10.26867/Palabras clave:
Inteligencia artificial, transparencia, sostenibilidad, dilema de caja negra, sesgos y riesgos, enfoques heterodoxosResumen
Revisión heterodoxa sobre el desarrollo en la implementación cotidiana de los algoritmos de inteligencia artificial, sus sesgos y riesgos para la vida humana por falta de transparencia o efecto caja negra. Se centra la atención aquí en la evaluación de un problema que ha influido en el desarrollo de la inteligencia artificial, como es el dilema ético-económico de caja negra, junto con su paradoja. La atención a dicho problema, sobre si prima la transparencia sobre el rendimiento algorítmico (y cómo se valora, con sus sesgos y riesgos), permite comprender la paradoja conducente a la actual dicotomía entre el mundo anglosajón y el europeo continental. Mediante un estudio bibliométrico-narrativo y crítico-hermenéutico, junto con los marcos teóricos y metodológicos de la Escuela Austriaca y los neoinstitucionalistas (dada su experiencia en el análisis de otras cajas negras, como el Estado, el sector público o la economía de bienestar), desde este trabajo se ofrece una exposición y explicación del problema, su alcance y si cabe esperar una futura convergencia de posiciones al respecto.
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