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Profilování a automatizované rozhodování (nejen) ve světle lidských práv a základních svobod

Authors: Fialová, E. (Eva); Matejka, J. (Ján); Güttler, V. (Vojen);

Profilování a automatizované rozhodování (nejen) ve světle lidských práv a základních svobod

Abstract

This publication analyzes the use of new technologies that work on the basis of machine learning-based algorithms from a legal perspective. Systems using these algorithms make decisions automatically, without human intervention. The publication focuses on the legal regulation of automated decision-making and on some partial aspects related to automated decision-making, such as the use of algorithms, profiling and big data. The publication also deals with possible violations of human rights by algorithmic decision-making, namely the right to a fair trial, the right to privacy and the prohibition of discrimination.

Country
Czech Republic
Related Organizations
Keywords

fair trial, automated decision-making, big data, profiling, algorithms, human rights, privacy, discrimination

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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
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