Racial Biases in AIs and Gemini's Inability to Write Narratives About Black People

Abstract

This article addresses the racism that emerges in artificial intelligence based on an experiment carried out in Gemini, Google's text-generative tool that uses natural language. In an attempt to observe possible racial biases in the chatbot's responses, commands reproduced for the binary matrices man/woman and white/black were submitted in order to compare the responses, but Gemini, despite having text production as its primary function, was unable to generate narratives that involved black people. This empirical experimentation was analyzed according to a bibliographical review of authors who deal with racial themes, mainly considering the view of Denise Ferreira da Silva in relation to the idea of a transparent subjectivity, the temporal displacement of the black body discussed by Bhabha and the overlap between technology and race brought by Noble and Faustino and Lippold. This erasure of minoritized racial groups is not restricted to the tool or the algorithmic means, but is a symptom of other exclusionary practices observed in society.