O viés nos júris representa um sério desafio para os juízes e advogados conduzirem julgamentos justos, igualitários e imparciais. Um artigo recente publicado na Social Cognitive and Affective Neuroscience considera a sobreposição...
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)
Os processos cognitivos sociais relacionados ao dano à vítima explicam o viés do tipo de crime. (A) Sobreposição entre viés do tipo de crime e mapas de associação Neurosynth (inferência reversa) de tópicos relacionados a processos cognitivos sociais (mapa de tópicos 145: 'mente, mental e social'; mapa de tópicos 154: 'social e interações'; e mapa de tópicos 100: 'gestos, abstrato e raça'). Os mapas de tópicos de cognição social são calculados e mostrados em azul, o mapa de tópicos de viés de cultura e ideação 100 é mostrado em vermelho e os clusters significativos limitados associados ao viés do tipo de crime são mostrados em amarelo. Os mapas de neurossintetizadores são limitados para corrigir comparações múltiplas (limiar de taxa de descoberta falsa = 0,01). (B) As estimativas do modelo de viés do tipo de crime a partir das classificações (PC1) e (C) ativação média de fMRI de padrões associados ao viés do tipo de crime dependem da presença de uma vítima identificável. Crimes que resultaram em danos a uma pessoa foram exclusivamente associados a medidas cognitivas [F(230) = 32,08, P < 0,001] e neurais [F(2926) = 13,04, P < 0,001] mais altas de viés do tipo de crime do que crimes sem vítima ou crimes que resultaram em perda de propriedade. As barras de erro representam intervalos de confiança de 95%. Crédito: Neurociência Social Cognitiva e Afetiva (2022). DOI: 10.1093/scan/nsac057
O viés nos júris representa um sério desafio para os juízes e advogados conduzirem julgamentos justos, igualitários e imparciais. Um artigo recente publicado na Social Cognitive and Affective Neuroscience considera a sobreposição entre processos cognitivos sociais, como estereótipos culturais e raciais e atividade cerebral associada ao preconceito contra réus acusados ??de crimes graves.
R. McKell Carter, um dos coautores do artigo, é professor assistente de psicologia e neurociência na University of Colorado Boulder. Ele é um especialista em cognição social : os processos do cérebro que interpretam as ações, intenções e expectativas dos outros.
O estudo de Carter examina o papel da cognição social no viés do tipo de crime , quando os jurados percebem o caso do promotor mais forte com base na gravidade das acusações contra o réu. Usando ressonância magnética funcional (fMRI) em jurados simulados, os pesquisadores mapearam regiões do cérebro que foram ativadas quando os jurados foram apresentados a narrativas e evidências de casos fictícios.
Depois de avaliar os dados do experimento, "percebemos que as pessoas estavam decidindo um pouco de culpa apenas na acusação em si, e que era comparável à quantidade de culpa colocada em um caso em que evidências físicas estão disponíveis", de acordo com Carter.
Em um caso de assassinato, por exemplo, "Se as impressões digitais forem encontradas ao lado do corpo, isso é semelhante à quantidade de peso que seria dado a alguém acusado de assassinato. (Eles são) automaticamente considerados um pouco mais culpados".
Os neurocientistas estão divididos sobre quais tipos de processos cognitivos estão mais associados a vieses que influenciam decisões sociais importantes. Para os pesquisadores do estudo, eles queriam discernir se o afeto (emoção), o julgamento moral ou a cognição social forneciam a melhor explicação para os processos neurais ligados ao viés do tipo crime.
"Ao usar dados cerebrais , temos a oportunidade de saber quais partes do cérebro devem estar ativas se alguém estiver considerando julgamento moral, vieses emocionais ou sociais. Definimos esses modelos cognitivos individuais e depois os comparamos com os dados cerebrais durante o crime. período de viés de tipo" do experimento, diz Carter.
Os pesquisadores queriam saber: "Que parte do cérebro está realmente fazendo esse trabalho e fazendo com que essa pessoa responda de maneira tendenciosa?"
Usando métodos sem hipótese e a priori, Carter e sua equipe compararam as imagens fMRI da atividade cerebral dos jurados falsos com as encontradas no Neurosynth , um banco de dados de dados fMRI de milhares de estudos publicados, desenvolvido na CU por Tor Wager . Eles descobriram que os mapas cognitivos associados ao julgamento moral e ao afeto não combinavam fortemente com o viés do tipo de crime, mas o viés de cognição social, cultural e de ideação sim.
Essa sobreposição de atividade cerebral ocorreu principalmente na junção temporoparietal , área responsável por coletar, integrar e processar informações do ambiente externo.
Essa evidência "nos ajuda a pensar sobre por que as pessoas podem estar se comportando com preconceito do tipo crime. É semelhante à maneira como as pessoas parecem ter pensamentos tendenciosos sobre grupos raciais externos ou pessoas que normalmente não veem como parte de seu próprio grupo social". segundo Carter.
O estudo pretende destacar para juízes e advogados como as decisões tendenciosas do júri podem ser causadas por processos cognitivos sociais, como expectativas culturais influenciando como os jurados interpretam e preveem as ações dos réus acusados ??de crimes graves.
O viés do tipo crime "parece que está contando com essa área do cérebro que está prevendo o que outras pessoas farão a seguir ou o que eu faria a seguir", diz Carter. "O viés contra os assassinos acusados ??pode ser bem intencionado, mas certamente estamos trabalhando para superar isso."
"Então, a questão é: como fazemos o melhor trabalho para alcançar a justiça enquanto ainda tentamos aprender, generalizar e prever o que vai acontecer no futuro?"
Para Carter, as descobertas do estudo de que o viés do tipo de crime está associado à cognição social significa que os humanos têm a capacidade de mudar sua visão sobre os outros e que o viés nos júris pode ser remediado.
"Acho que temos que fazer o nosso melhor para fornecer situações em que os indivíduos possam identificar oportunidades perdidas. Se você viu casos de assassinato em que as pessoas foram falsamente acusadas, isso pode mudar seu pensamento. E talvez, se mostrássemos a eles casos com evidências ilibadoras, nossos sujeitos poderiam mostrar menos preconceito", diz Carter.
“Na verdade, tenho muita esperança de que, quanto mais dispostos estivermos a reconhecer que essas são restrições do mundo e não de nossos cérebros, mais espaço nos daremos para tentar resolver esses problemas”.
Mais informações: Jaime J Castrellon et al, Processos cognitivos sociais explicam o viés nas decisões do jurado, Neurociência social cognitiva e afetiva (2022). DOI: 10.1093/scan/nsac057
Informações do jornal: Social Cognitive and Affective Neuroscience