2024-11-182024-11-182023-11-29MOREIRA, Paulliny Araújo. Inteligência artificial e indústria 4.0?: validação de desafios considerando o contexto de um país de economia emergente utilizando o método de Lawshe. 2023. Trabalho de Conclusão de Curso (Bacharelado em Engenharia de Produção) - Universidade do Estado do Pará, Belém, 2023.https://bibliotecadigitaldetcc.uepa.br/handle/riuepa/512Artificial Intelligence has been an area of great interest and investment in the industrial sector, offering numerous possibilities to enhance efficiency and accuracy in production processes. In this regard, this study aimed to identify the adoption challenges of Artificial Intelligence and determine which of these challenges are applicable to the industrial context of an emerging economy, considering the aspects of Industry 4.0. To achieve this objective, a literature review was conducted, and a survey was carried out among professionals in the industrial field operating within the Brazilian context. The collected data were analyzed using a quantitative approach through the Lawshe method. The results indicate that in order to enhance the adoption of artificial intelligence in the industrial context of an emerging economy, taking into account the needs of Industry 4.0, it is important to prioritize overcoming challenges such as "Lack of clarity in return on investment,""Organizational culture," "Acceptance of AI by workers," "Quantity and quality of data," and "Data protection". Therefore, based on the achieved results, it can be concluded that they contribute to the development of strategies and practical actions aimed at successfully driving the adoption of Artificial Intelligence in the industrial sector of developing countries, aligning with the principles and needs of Industry 4.0.Língua PortuguesaAbertoArtificial intelligenceIndustry 4.0ChallengesEmerging economyTrabalho de Conclusão de Curso (TCC)