AI and the Inclusion of Deaf People in Brazil: A Qualitative Study

Authors

  • Israel Bispo dos Santos

  • Giselle Massi

  • Ana Carla Oliveira Garcia

  • Jéssica Raignieri

  • Amanda Monteiro Magrini

  • Ringo Bez de Jesus

  • Eugenio da Silva Lima

  • Silvana Elisa de Morais Schubert

  • Everton de Morais

  • Adriana Lacerda

Keywords:

deafness, brazilian sign language, artificial intelligence, digital inclusion, qualitative analysis

Abstract

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.

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How to Cite

AI and the Inclusion of Deaf People in Brazil: A Qualitative Study. (2026). Global Journal of Human-Social Science, 25(H5), 1-8. https://socialscienceresearch.org/index.php/GJHSS/article/view/104462

References

AI and the Inclusion of Deaf People in Brazil A Qualitative Study

Published

2026-01-14

How to Cite

AI and the Inclusion of Deaf People in Brazil: A Qualitative Study. (2026). Global Journal of Human-Social Science, 25(H5), 1-8. https://socialscienceresearch.org/index.php/GJHSS/article/view/104462