Resumo
Objetivo: analisar a questão da justiça e da discriminação em sistemas de inteligência artificial, com base em bancos de imagens médicas. Metodologia: análise de documentos que compõem o marco normativo da União Europeia para o uso da inteligência artificial cotejados com o relatório FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. Resultados: o estudo indica que a inteligência artificial treinada com dados desbalanceados tende a gerar previsões enviesadas, o que pode exacerbar desigualdades de saúde e afetar a justiça. A discriminação em sistemas de inteligências artificias se mostra abstrata, sutil e de difícil detecção quando comparadas com as formas tradicionais de discriminação. Considerações finais: Impõe-se uma regulamentação robusta para garantir justiça nos sistemas de inteligência artificial considerando a necessidade de colaboração interdisciplinar para preparar essa nova geração de juristas com um olhar aprimorado sobre o tema e suas variadas dimensões.
Submissão: 01/10/24| Revisão: 04/10/24| Aprovação: 04/10/24
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Copyright (c) 2024 Valentina Colcelli (Autor)