ISSN: 2310-2799
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546,196 artículos
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Año:
2022
ISSN:
2007-2171
de León Torres, Maria Soledad
Universidad de Guadalajara
Resumen
This paper questions the attention paid to the structure of households as an indicator that influences school trajectories. It examines the trajectories of high school students from Ameca, Jalisco, a municipality with a high and historic migration rate from Mexico to the United States. Using qualitative analysis and statistical data on the region studied, the paper questions the tendency of quantitative studies to present conventional families as ideal spaces for school continuity.
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Año:
2022
ISSN:
2007-2171
González Reyes, Rodrigo; Flores Márquez, Dorismilda
Universidad de Guadalajara
Resumen
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Año:
2022
ISSN:
2007-2171
Vasilachis, Irene; Gialdino, Mariano R.
Universidad de Guadalajara
Resumen
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Año:
2022
ISSN:
2007-2171
González Reyes, Rodrigo; Flores Márquez, Dorismilda
Universidad de Guadalajara
Resumen
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Año:
2022
ISSN:
2007-2171
Solorio Silva, Sergio; Fregoso Centeno, Anayanci
Universidad de Guadalajara
Resumen
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Año:
2022
ISSN:
2594-0082
Ordelin Font, Jorge Luis
Instituto de Investigaciones Jurídicas (UNAM) - INAI
Resumen
<p align="justify"> The pandemic caused by COVID-19 has shown that the legislative provisions adopted in the vast majority of Latin American countries for the treatment of sensitive data are not sufficient. The objective of this work is to analyze the main risks that arise in the treatment of sensitive data from the relationship between the public and private sectors. For this, are analyzed the regulatory inconsistencies and their application observed in the terms and conditions of some of the applications used to deal with the pandemic. All this leads to the conclusion that the configuration, interpretation, and application of the regulations for the treatment of sensitive data need to be rethought.</p>
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Año:
2022
ISSN:
2594-0082
Viveros Álvarez, Jimena Sofía
Instituto de Investigaciones Jurídicas (UNAM) - INAI
Resumen
This article seeks to propose solutions to the conundrum presented by new and emerging technologies, particularly the accountability gap arising from the use or deployment of autonomous weapon systems equipped with artificial intelligence. Since these systems can achieve their objectives without human intervention, invoking responsibility for a possible wrongful act may prove to be challenging. The normative framework of State responsibility for internationally wrongful acts is analyzed in order to provide possible solutions derived from existing norms. Furthermore, the basic characteristics of Artificial Intelligence, which give rise to this accountability gap, are also explained. Finally, the cases in which the State responsibility may be invoked in relation to the use of Artificial Intelligence are likewise discussed.
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