Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Silvana Elisa de Morais Schubert
Eugenio da Silva Lima
Amanda Monteiro Magrini
This study investigated the perceptions of Deaf users of Brazilian Sign Language (Libras) regarding artificial intelligence (AI), through online interviews with 12 participants of different ages, educational backgrounds, and occupations. A qualitative methodology was applied, based on Bardin’s (2011) content analysis, which enabled the identification of meaning patterns in participants’ responses. The results highlighted five main themes: lack of knowledge, mistaken associations, practical uses, interest in learning, and resistance/fear. Lack of knowledge proved to be transversal, affecting youth, adults, and elderly participants, reflecting structural informational exclusion. Mistaken associations showed how the absence of critical digital literacy in sign language leads to limited understandings of AI, often linked to already familiar technologies. Practical uses, mostly reported by teachers and university students, revealed AI’s potential as an educational mediator and a tool for autonomy. The strong interest in learning demonstrated participants’ willingness to attend courses in Libras, indicating a demand for public policies and critical training initiatives. Finally, resistance, although minor, reflected the influence of distorted media narratives on negative perceptions of AI. It is concluded that the inclusion of the Deaf community in the age of AI requires linguistic equity, access policies, and accessible digital environments, in order to transform curiosity into empowerment and break the cycle of exclusion.
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Dr. Israel Bispo dos Santos. 2026. \u201cAI and the Inclusion of Deaf People in Brazil: A Qualitative Study\u201d. Global Journal of Human-Social Science - H: Interdisciplinary GJHSS-H Volume 25 (GJHSS Volume 25 Issue H5): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Total Score: 106
Country: Brazil
Subject: Global Journal of Human-Social Science - H: Interdisciplinary
Authors: Israel Bispo dos Santos, Everton de Morais, Silvana Elisa de Morais Schubert, Eugenio da Silva Lima, Ringo Bez de Jesus, Amanda Monteiro Magrini (PhD/Dr. count: 0)
View Count (all-time): 73
Total Views (Real + Logic): 114
Total Downloads (simulated): 30
Publish Date: 2026 01, Fri
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This study investigated the perceptions of Deaf users of Brazilian Sign Language (Libras) regarding artificial intelligence (AI), through online interviews with 12 participants of different ages, educational backgrounds, and occupations. A qualitative methodology was applied, based on Bardin’s (2011) content analysis, which enabled the identification of meaning patterns in participants’ responses. The results highlighted five main themes: lack of knowledge, mistaken associations, practical uses, interest in learning, and resistance/fear. Lack of knowledge proved to be transversal, affecting youth, adults, and elderly participants, reflecting structural informational exclusion. Mistaken associations showed how the absence of critical digital literacy in sign language leads to limited understandings of AI, often linked to already familiar technologies. Practical uses, mostly reported by teachers and university students, revealed AI’s potential as an educational mediator and a tool for autonomy. The strong interest in learning demonstrated participants’ willingness to attend courses in Libras, indicating a demand for public policies and critical training initiatives. Finally, resistance, although minor, reflected the influence of distorted media narratives on negative perceptions of AI. It is concluded that the inclusion of the Deaf community in the age of AI requires linguistic equity, access policies, and accessible digital environments, in order to transform curiosity into empowerment and break the cycle of exclusion.
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