PRECONCEITO DE GÊNERO NA LINGUÍSTICA CRÍTICA: DISCRIMINAÇÃO ALGORÍTMICA CONTRA PESSOAS TRANSGÊNERAS EM SISTEMAS DE POLÍTICAS PÚBLICAS

The article investigates gender bias in critical linguistics, focusing on how artificial intelligence (AI) algorithms reproduce and amplify stereotypes against transgender people in priority areas such as health, education, and employment. By analyzing, in an interdisciplinary manner, the relationships between language, power, and technology, the main objective of the study is to identify the mechanisms that lead to algorithmic discrimination and discuss critical approaches to mitigate such biases. The methodology emphasizes debiasing methods, which are techniques for correcting biases in informational models that use AI.