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Desigualdades algorítmicas

Authors: María José Añón Roig;

Desigualdades algorítmicas

Abstract

Este artículo propone un análisis sobre las desigualdades originadas o reforzadas por el uso de los modelos y programas de aprendizaje automático que encuentran una de sus principales justificaciones en el principio de precisión predictiva, así como sobre algunas respuestas que cabe esperar del sistema jurídico para abordarlas. Este tema ha sido tratado fundamentalmente bien a través de la tutela del derecho a la privacidad y la protección de datos, bien mediante la elaboración de códigos éticos. Aquí se adoptarán dos perspectivas distintas a las anteriores. En primer lugar, el enfoque del riesgo, marco en el que se ha emplazado recientemente la regulación europea de la inteligencia artificial y desde el que se examinarán las obligaciones vinculadas a las prácticas consideradas de alto riesgo. En segundo lugar, la perspectiva del Derecho antidiscriminatorio; en este sentido, se analizarán las virtualidades y los límites del este sector de los ordenamientos jurídicos. La finalidad de este artículo es mostrar que si el Derecho antidiscriminatorio ha de responder a las prácticas más controvertidas de los modelos algorítmicos, ha de superar la visión binaria de la teoría antidiscriminatoria y ser interpretada como una teoría jurídica con capacidad para transformar la realidad social.

Keywords

justicia, riesgo, inteligencia artificial, K201-487, Jurisprudence. Philosophy and theory of law, derechos humanos, discriminación estructural

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold
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