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Extractivismo de datos, regulaciones e inteligencias artificiales

Authors: Vercelli, Ariel Hernan;

Extractivismo de datos, regulaciones e inteligencias artificiales

Abstract

En este capítulo buscamos algunas respuestas a la pregunta ¿qué es el extractivismo de datos y cuáles son sus consecuenciaspolíticas? Para ello, vamos a tratar de dar un panorama de la situación actual, con la intención de ir dando algunas respuestas. El extractivismo de datos plantea desafíos significativos a la democracia. Específicamente, a la intersección entre tecnología, privacidad y democracia. La recopilación masiva y sistemática de datos personales y el uso abusivo de esta información personal, plantea serios cuestionamientos legales, tiene un impacto sobre la democracia y con el cambio que introducen tecnologías como el internet de las cosas (IoT), las inteligencias artificiales (IA) o los chatbots personales, estos problemas se pueden agravar.

Fil: Vercelli, Ariel Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Humanidades y Ciencias Sociales. Universidad Nacional de Mar del Plata. Instituto de Humanidades y Ciencias Sociales; Argentina

Country
Argentina
Keywords

https://purl.org/becyt/ford/6.5, REGULACIONES, INTERNET OF THINGS, https://purl.org/becyt/ford/6, PROTECCIÓN DE DATOS PERSONALES, EXTRACTIVISMO

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    popularity
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    influence
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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
Green