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  1. Início
  2. Pesquisar por Assunto

Navegando por Assunto "Discriminação no emprego"

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    Discriminação algorítmica no mercado de trabalho brasileiro: uma análise da utilização da IA
    (Centro Universitário do Estado do Pará, 2024-09-07) Brasil, Luiza Arruda Câmara; Ferreira, Vanessa Rocha; http://lattes.cnpq.br/8565252837284537; Soares, Dennis Verbicaro; http://lattes.cnpq.br/9961080231553419; Resque, João Daniel Daibes; http://lattes.cnpq.br/0225226226260524
    This discussion is aimed at investigating the general nature of the main algorithmic discriminations found in the Brazilian travel market. The Brazilian trade market has now been strongly impacted by artificial intelligence, revealing significant challenges to combat algorithmic discrimination, just as it currently does on data protection (Lei 13,709/2018). The research focuses on investigating which are the main forms of algorithmic discrimination and how they can be mitigated, through an analysis of the current Brazilian scenario in traffic and data protection norms. The specific objectives include analyzing the historical and conceptual aspects of AI, in order to understand how this technology evolved and so that it can be understood the ambiguities created in its use; Examine the trade market and how the algorithms impact the trade-home relationship, through the programs provided. Understand how the European Union (EU) deals with algorithmic discrimination and understand the consequences of varying the minimum parameters for use by AI in Brazil, resulting in algorithmic discrimination in the trade market. The theoretical relevance of the research is based on the production of content that can contribute to the regulatory debate on a technology that impacts millions of human beings, with the main purpose of protecting the fundamental and social rights of Brazilian workers. You do not intend to comply with the use of this technology, but only meet the minimum requirements for its use. From a practical point of view, in this article you can contribute as a debate, in order to propose a new approach to the consequences of the indiscriminate use of artificial intelligence. Having said that, using the hypothetical-deductive method. With a qualitative approach, an appropriate analysis of bibliographic data, documentary analysis and division into chapters that are explored or used by artificial intelligence in the business market. Finally, the considerations stand out as to the importance of testing against persistent problems, trying to combat algorithmic opacity.
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    Mulheres no mercado de trabalho no setor extrativista mineral no município de Canaã dos Carajás, estado do Pará
    (Centro Universitário do Estado do Pará, 2022) Souza, Alyne Marcely Fernandes de; Freitas, Juliana Rodrigues; http://lattes.cnpq.br/0679636700210902; Koury, Suzy Elizabeth Cavalcante; http://lattes.cnpq.br/5382551862867769; Machado, Raquel Cavalcanti Ramos; http://lattes.cnpq.br/3499098855052085
    This master's dissertation proposes a study on women in the labor market in the mineral extractive sector, in the municipality of Canaã dos Carajás, in the state of Pará (Brazil). The research aims to propose an investigation into adequate policies to encourage the inclusion, entry, permanence and professional growth of women in positions in this job niche. The issue is relevant, as it seeks to describe and address the issue of discrimination against women in the labor market, notably, in terms of dealing with complex issues involving the sexual and racial division of labor. The issue of (de)valuing the workforce from a gender perspective has been increasingly debated on the national scene. Although the Brazilian and international legal systems have laws and norms that deal with the fight against discrimination and violence against women, there is a growing need to combine this legal framework with the interdisciplinary relationship between Law, Economics, Politics and Development, in order to face of this malady, which is not just social. In view of this national conjuncture, the question arises of investigating the possible symbiosis of economic growth, produced by the mineral extractive sector, and human development, with regard to gender equality in this environment. It so happens that the implementation of this practice does not only involve legal aspects, but also the analysis of the local community, of tools of a feminist content that give women autonomy, considering that, due to the cultural load in our country, women would be doomed to maintain themselves. only in the domestic environment, focused on motherhood and care of the home and people. In this vein, there are worrying differences to the disadvantage of women in the analyzed labor market, making it necessary to identify this dimension of the sexual division of labor.
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    Item
    Trabalho da mulher em tempos de pandemia de COVID-19: de que forma a Pandemia agravou a discriminação de gênero na atualidade?
    (Centro Universitário do Estado do Pará, 2020) Silva, Brenda Lisboa Bentes da; Rodrigues, Vanessa Rocha Ferreira
    This paper analyses Covid-19 pandemic impacts and its adptation necessity at labour environment and therefore the consequences of gender discrimination related to women, that has become even more evident. For this purpose, a critical study of remote working is made, which is a model adopted by companies as preventive manner for keeping labour tasks and its effects mainly in female workers, especially on physical and mental helth. This essay is a qualitative analyses consequently exploratory, using as mothodoly literature reserch and based on analyses of scientific papers related to Covid-19, in order to achieve the final goal. Firstly, there has been a study about the history of women at the labor Market and afterwards there is a study about the dificulties in being inclued in labor environment due to labour sexual Division. After that, there are the impacts caused by social isolation at occupational and familiar level, and finally, there were complications in the female physical and mental health owing to her triple working hours.

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