<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1692-2530</journal-id>
<journal-title><![CDATA[Opinión Jurídica]]></journal-title>
<abbrev-journal-title><![CDATA[Opin. jurid.]]></abbrev-journal-title>
<issn>1692-2530</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Medellín]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1692-25302024000200008</article-id>
<article-id pub-id-type="doi">10.22395/ojum.v23n50a49</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Inteligência artificial, vieses algorítmicos e racismo: o lado desconhecido da justiça algorítmica]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial Intelligence, Algorithm Biases and Racisms: The Dark Side of Algorithm Justice]]></article-title>
<article-title xml:lang="es"><![CDATA[Inteligencia artificial, sesgos algorítmicos y racismo: el lado desconocido de la justicia algorítmica]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosa]]></surname>
<given-names><![CDATA[Alexandre Morais da]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guasque]]></surname>
<given-names><![CDATA[Bárbara]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade do Vale do Itajaí  ]]></institution>
<addr-line><![CDATA[Itajaí ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade do Vale do Itajaí  ]]></institution>
<addr-line><![CDATA[Itajaí ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>23</volume>
<numero>50</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1692-25302024000200008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1692-25302024000200008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1692-25302024000200008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo O presente artigo se propõe a identificar algumas externalidades negativas oriundas da não observância de determinados padrões éticos em modelos de Inteligência Artificial (IA). O estudo objetiva esclarecer a importância de se voltar uma rigorosa atenção aos dados que são utilizados na construção de modelos de IA, tal como elencar possíveis soluções para reduzir a incidência de algoritmos enviesados e mitigar suas consequências danosas. A metodologia utilizada tem natureza exploratória e descritiva, abordando casos práticos e, também, como procedimento técnico, utilizou-se de pesquisa bibliográfica. A conclusão principal aferida é a de que os algoritmos enviesados produzem nefastas consequências sociais, violando direitos fundamentais e operando como catalisadores, o que aumenta e perpetua preconceitos e segregações inerentes à sociedade na qual se baseiam, contribuindo com a manutenção e intensificação do racismo estrutural que permeia a sociedade e o sistema de justiça criminal.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This article aims to identify some negative externalities arising from the failure to comply with specific ethical standards in Artificial Intelligence (AI) models. This study highlights the importance of paying rigorous attention to the data used in building AI models, such as listing potential solutions to reduce the incidence of skewed algorithms and mitigate their harmful consequences. This article followed an exploratory descriptive methodology, addressing practical cases, and turned to bibliographic review as a technical procedure. The main finding is that skewed algorithms cause disastrous social consequences, violating fundamental rights and actings as catalyzers, increasing and perpetuating prejudice and segregation inherent to their society, thus contributing to the structural racism that permeates society and the criminal justice system.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El presente artículo se propone identificar algunas externalidades negativas originadas por la inobservancia de determinados patrones éticos en modelos de Inteligencia Artificial (IA). El estudio pretende aclarar la importancia de prestar una atención rigurosa a los datos utilizados en la construcción de modelos de IA, así como enumerar posibles soluciones para reducir la incidencia de algoritmos sesgados y mitigar sus consecuencias perjudiciales. La metodología empleada es de naturaleza exploratoria y descriptiva, abordando casos prácticos, y también se utilizó la investigación bibliográfica como procedimiento técnico. La principal conclusión obtenida es que los algoritmos sesgados producen nefastas consecuencias sociales, vulnerando derechos fundamentales y operando como catalizadores, que aumentan y perpetúan prejuicios y segregaciones inherentes a la sociedad en la que se basan, contribuyendo al mantenimiento e intensificación del racismo estructural que permea a la sociedad y el sistema de justicia penal.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[inteligência artificial]]></kwd>
<kwd lng="pt"><![CDATA[vieses algorítmicos]]></kwd>
<kwd lng="pt"><![CDATA[sistema de justiça]]></kwd>
<kwd lng="pt"><![CDATA[racismo]]></kwd>
<kwd lng="pt"><![CDATA[discriminação]]></kwd>
<kwd lng="pt"><![CDATA[direitos fundamentais]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[algorithm skews]]></kwd>
<kwd lng="en"><![CDATA[justice system]]></kwd>
<kwd lng="en"><![CDATA[racism]]></kwd>
<kwd lng="en"><![CDATA[discrimination]]></kwd>
<kwd lng="en"><![CDATA[fundamental rights]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[sesgos algorítmicos]]></kwd>
<kwd lng="es"><![CDATA[sistema de justicia]]></kwd>
<kwd lng="es"><![CDATA[racismo]]></kwd>
<kwd lng="es"><![CDATA[discriminación]]></kwd>
<kwd lng="es"><![CDATA[derechos fundamentales]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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