Ética e inteligencia artificial
desafíos y mejores prácticas
DOI:
https://doi.org/10.35699/2965-6931.2023.47673Palabras clave:
inteligencia artificial, principio moral, aprendizaje automático, aprendizaje profundo, sesgo del algoritmoResumen
El rápido avance de la inteligencia artificial (IA) trajo consigo la necesidad de comprender su impacto social y sus implicaciones éticas. En este sentido, este artículo planteó y discutió las principales cuestiones éticas relacionadas con la IA, los principales obstáculos actuales en el desarrollo de algoritmos de aprendizaje automático y las mejores prácticas para desarrollar algoritmos éticos y justos. Los sesgos pueden perpetuarse fácilmente mediante el uso de datos desequilibrados y correlaciones sin fundamento. Ante esto, la colaboración entre los desarrolladores de algoritmos y otros especialistas se vuelve fundamental para comprender las diferentes perspectivas e identificar las formas sutiles de propagación de los prejuicios. La ética de los algoritmos no es un problema que se resolverá solo a través de un enfoque tecnológico; este problema también involucra cuestiones sociales, culturales, legales y políticas. Por lo tanto, el desarrollo tecnológico y la responsabilidad social deben ir de la mano, para evitar que se agraven las diferencias sociales.Descargas
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