Ethics and artificial intelligence

challenges and Best Practices

Authors

DOI:

https://doi.org/10.35699/2965-6931.2023.47673

Keywords:

artificial intelligence, ethic, machine learning, deep learning, algorithm bias

Abstract

The rapid advancement of artificial intelligence (AI) brought with it the need to understand its social impact and ethical implications. In this sense, this article raised and discussed the main ethical issues related to AI, the current primary obstacles in the development of machine learning algorithms, and the best practices to develop ethical and fair algorithms. Biases can easily perpetuate themselves through the use of unbalanced datasets and unsubstantiated correlations. Therefore, collaboration between algorithm developers and other specialists becomes essential to understand different perspectives and identify the subtle forms of the propagation of prejudices. The ethics of algorithms is not an issue that will be solved only through a technological approach - this theme also involves social, cultural, legal, and political aspects. Therefore, technological development and social responsibility must go hand in hand to avoid the aggravation of social differences.

Author Biographies

  • Carolina de Melo Nunes Lopes, Universidade Federal de Ouro Preto (UFOP)

    Engenheira Civil pela UFOP. Mestre e Doutoranda pela mesma instituição. Membro do Grupo de Pesquisa em Ciência de Dados aplicada à Engenharia - CIDENG-CNPq. Especialista em Engenharia de Avaliações e Perícias pela PUC MG . Atua em pesquisas sobre construções sustentáveis, avaliação de ciclo de vida, aproveitamento de resíduos e inteligência artificial.

  • Júlia Castro Mendes, Universidade Federal de Juiz de Fora (UFJF)

    Professora adjunta na UFJF. Doutora e Mestre em Engenharia Civil pela UFOP na área de matrizes cimentícias sustentáveis. Jovem Docente Permanente do PPG em Engenharia Civil da UFOP e da UFJF. Coordenadora do CIDENG-CNPq - Grupo de Pesquisa em Ciência de Dados aplicada à Engenharia. Experiência em aprendizagem de máquina aplicada à materiais de construção, materiais e construção sustentáveis.

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Published

2023-12-07

Issue

Vol. 30 (2023): Intelligence and Artificial Intelligence

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Artigos

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Ethics and artificial intelligence: challenges and Best Practices. Revista da Universidade Federal de Minas Gerais, Belo Horizonte, v. 30, n. fluxo contínuo, 2023. DOI: 10.35699/2965-6931.2023.47673. Disponível em: https://periodicos.ufmg.br/index.php/revistadaufmg/article/view/47673. Acesso em: 29 oct. 2026.