BRANQUITUDE EM FOCO: ANÁLISE DE IMAGENS GERADAS POR INTELIGÊNCIA ARTIFICIAL PARA COMPREENDER A LÓGICA DA SUPREMACIA BRANCA
Main Article Content
Abstract
The study analyzes 47 images generated by 10 text- and image-generating artificial intelligence (AIs) systems – ChatGPT, Gemini, DeepAI, Grok, DeepSeek, Copilot, Dreamina, Perplexity, Claude, and Meta AI – based on three prompts requesting representations of whiteness. A text explaining the concept's definition and the racial composition of their teams was also requested. As main results, the AIs described whiteness as related to racial privilege; however, they produced images of young white women, nature, light colors, and white textures, thereby stripping the term of its symbolic and historical weight. Furthermore, two AIs refused to create images representing human races.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
- Authors retain copyright and grant the journal the right of first publication, with work simultaneously licensed under the Creative Commons Attribution License CC-BY 4.0 which allows the sharing of the work with acknowledgment of the authorship of the work and initial publication in this journal.
- Authors are authorized to enter into additional contracts separately for non-exclusive distribution of the version of the work published in this journal (eg, publishing in institutional repository or book chapter), with acknowledgment of authorship and initial publication in this journal.
- Authors are allowed and encouraged to post and distribute their work online (eg in institutional repositories or on their personal page) at any point before or during the editorial process, as this may lead to productive changes as well as increase impact and citation of published work (See The Effect of Free Access).