Creación de sistemas de IA responsables: garantizar la equidad, la rendición de cuentas y la transparencia
Este artículo analiza la implementación de una IA responsable a través de la aplicación jurídica y normativa de los principios de equidad, rendición de cuentas y transparencia. Mediante un análisis de diversas aplicaciones de IA y de los casos judiciales relacionados con ellas, el artículo examina cómo la Ley de Inteligencia Artificial de la UE y el RGPD se aplican a las aplicaciones de IA en ámbitos como los recursos humanos, las finanzas, los seguros y la administración pública. El artículo investiga en qué aspectos las implementaciones actuales de IA en estos ámbitos no cumplen con dicha normativa. Además, el artículo repasa algunas de las herramientas que se han creado para aumentar la explicabilidad de las decisiones de la IA, como SHAP, LIME y AI Fairness 360, y cómo dichas herramientas pueden ayudar a cumplir los requisitos del RGPD y de la Ley de IA. Por último, el artículo concluye que, si bien la IA responsable se considera a menudo una cuestión ética, se está convirtiendo en un ámbito de la regulación digital que se está aplicando y que las organizaciones deben cumplir.
Detalles del artículo
Estudios en Derecho a la Información por Universidad Nacional Autónoma de México, Instituto de Investigaciones Jurídicas
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
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