<?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>1647-3337</journal-id>
<journal-title><![CDATA[SOCIOLOGIA ON LINE]]></journal-title>
<abbrev-journal-title><![CDATA[SOCIOLOGIA ON LINE]]></abbrev-journal-title>
<issn>1647-3337</issn>
<publisher>
<publisher-name><![CDATA[Associação Portuguesa de Sociologia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1647-33372024000200134</article-id>
<article-id pub-id-type="doi">10.30553/sociologiaonline.2024.35.6</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[INTELIGÊNCIA ARTIFICIAL E JUSTIÇA CRIMINAL: RISCOS E DESAFIOS]]></article-title>
<article-title xml:lang="en"><![CDATA[ARTIFICIAL INTELLIGENCE AND CRIMINAL JUSTICE: RISKS AND CHALLENGES]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pedroso]]></surname>
<given-names><![CDATA[João]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[Andreia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade de Coimbra  ]]></institution>
<addr-line><![CDATA[Coimbra ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Investigadora independente  ]]></institution>
<addr-line><![CDATA[Coimbra ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<numero>35</numero>
<fpage>134</fpage>
<lpage>155</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1647-33372024000200134&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1647-33372024000200134&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1647-33372024000200134&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo A inteligência artificial (IA) veio alavancar a digitalização na área da justiça. A inovação promovida pela IA trouxe novas vantagens, sobretudo, na análise e tratamento dos dados, porém, trouxe igualmente novos desafios ao direito e sua aplicação. Entre eles, destaca-se o uso da IA na área criminal, sob a forma de uma &#8220;justiça preditiva&#8221;. Partindo de experiências no âmbito europeu e internacional com aplicação de programas de justiça preditiva com recurso à IA, debate-se os riscos e desafios face ao respeito pelos direitos fundamentais na aplicação desta nova forma de justiça. Esta análise deixa claro que a utilização de algoritmos nas decisões judiciais criminais através da justiça preditiva pode alterar o carácter dos dados e resultar em enviesamentos discriminatórios com impacto nos resultados. Além disso, ao serem vistos como objetivamente imparciais, esses algoritmos podem influenciar a independência dos juízes nas suas decisões, comprometendo assim o direito a um julgamento justo. A concluir, sugerem-se alguns elementos que podem contribuir para uma agenda futura de reflexão e de análise sobre a utilização da IA na justiça criminal e a sua conformidade (ou não) com os direitos fundamentais.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Artificial intelligence (AI) has boosted digitalization in the judiciary. The innovation promoted by AI has brought new advantages, especially in the analysis and processing of data, but it has also brought new challenges to the law and its application. Among these, the use of AI in the criminal area stands out, in the form of &#8220;predictive justice&#8221;. Based on experiences in the European and international spheres with the application of predictive justice programs using AI, we discuss the risks and challenges regarding respect for fundamental rights in the application of this new form of justice. This study makes it clear that the use of algorithms in criminal judicial decisions through predictive justice can alter the nature of the data and result in discriminatory biases that impact the outcomes. Moreover, by being perceived as objectively impartial, these algorithms can influence judges&#8217; independence in their decisions, thereby compromising the right to a fair trial. To conclude, we suggest some elements that can contribute to a future agenda of reflection and analysis on the use of AI in criminal justice and its compliance (or not) with fundamental rights.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[inteligência artificial]]></kwd>
<kwd lng="pt"><![CDATA[direito]]></kwd>
<kwd lng="pt"><![CDATA[área criminal]]></kwd>
<kwd lng="pt"><![CDATA[justiça preditiva.]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence, law]]></kwd>
<kwd lng="en"><![CDATA[criminal field, predictive justice.]]></kwd>
</kwd-group>
</article-meta>
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