Modelos dinámicos aplicados al aprendizaje de valores en inteligencia artificial
DOI:
https://doi.org/10.15448/1984-6746.2020.2.37439Palabras clave:
Inteligencia Artificial., Aprendizaje de valores, Ciencia cognitiva, Sistemas dinámicos.Resumen
los expertos en desarrollo de Inteligencia Artificial (IA) predicen que el progreso en el desarrollo de sistemas y agentes inteligentes remodelará áreas vitales en nuestra sociedad. Sin embargo, si ese progreso no se lleva a cabo de manera prudente y crítico-reflexiva, puede resultar en resultados negativos para la humanidad. Por esta razón, varios investigadores en el campo han desarrollado un diseño de IA robusta, beneficiosa y segura para la preservación de la humanidad y el medio ambiente. Actualmente, varios de los problemas abiertos en el campo de investigación de IA se derivan de la dificultad de evitar comportamientos no deseados de agentes y sistemas inteligentes, y al mismo tiempo especificar lo que realmente queremos que hagan estos sistemas, especialmente cuando prospectemos la posibilidad de que agentes inteligentes operen en varias áreas a largo plazo. Es de suma importancia que los agentes inteligentes artificiales tengan sus valores alineados con los valores humanos, dado el hecho de que no podemos esperar que una IA desarrolle valores morales humanos debido a su inteligencia, como se discutió en la Tesis de Ortogonalidad. Tal vez esta dificultad proviene de la forma en que estamos abordando el problema de expresar objetivos, valores y objetivos, utilizando métodos cognitivos representativos. Una solución a este problema sería el enfoque dinámico propuesto por Dreyfus, que
basado en la filosofía fenomenológica muestra que la experiencia humana del ser-en-el-mundo en diversos aspectos no está bien representada por el método cognitivo simbólico o conexionista, especialmente en la cuestión del aprendizaje de valores. Un posible enfoque de este problema sería utilizar modelos teóricos como (SED) (situated embodied dynamics) para abordar el problema del los valores en la IA.
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