Possíveis contribuições da accountability, para a regulação do uso de inteligência artificial pelo Poder Judiciário Brasileiro frente à necessidade de estabelecer padrões éticos para essa tecnologia, no Brasil

• Autor(a) principal: Alves, Juliana Fernandes
• Data de Publicação: 2020
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Universitário da Ânima (RUNA)
• Texto Completo: https://repositorio.animaeducacao.com.br/handle/ANIMA/15554
• topic: Accountability e poder judiciário brasileiro; Inteligência Artificial; Ética e Tecnologia.

This paper aims to analyze the possible contributions of accountability to the regulation of the use of artificial intelligence by the Brazilian judiciary, about the establishment of ethical standards for this technology. The study is justified by the fact that technological innovations become part of the legal routine, with a special focus on the use of Artificial Intelligence (AI) by the judiciary, which implies previously unknown effects, and it is prudent to consider accountability as an effective means in accountability for such performance. To achieve this objective, in relation to the methodology, a basic strategy was used, which concerns the purpose. With regard to the objectives, it is classified as a descriptive and exploratory research, with a qualitative approach. As for data collection, it is a bibliographic and documentary research. From the analysis of the data, it was found that accountability is essential for the regulation of the use of AI-based applications by the Brazilian judiciary, its influence should be considered for the institution of ethical guidelines, in the use of this technology in Brazil. There are positive consequences of its application, such as optimization of jurisdictional performance, increase in performance and accuracy. However, potential risks arising from biases and obscurities should not be overlooked. Thus, accountability is central to reducing negative effects, through accountability, during the algorithmic life cycle and accountability of those involved for any damages.