Usos da inteligência artificial na violência de gênero digital: produção, amplificação e enfrentamento

Abstract

This study analyzes how artificial intelligence has been used in the production, amplification, and combating of digital gender-based violence against women. The research adopts a qualitative, exploratory, and descriptive approach, based on bibliographic and documentary research. Searches were conducted in the SciELO, Springer, and Google Scholar databases, resulting in 57 articles and documents, of which 17 were selected for analysis according to the established inclusion and exclusion criteria. The findings demonstrate that artificial intelligence did not create digital gender-based violence but increased its capacity for production and dissemination. Generative tools facilitate the creation of sexual deepfakes, “nudified” images, and other false or manipulated content, while automated systems and recommendation algorithms can expand the reach and repetition of abuse. Conversely, natural language processing, machine learning, and computer vision techniques can assist in detecting misogyny, harassment, hate speech, and manipulated content, as well as supporting content moderation and victim guidance. However, these applications have limitations related to bias, contextual interpretation, and classification errors. It is concluded that combating this phenomenon requires not only technological resources combined with human oversight, but also appropriate legislation, platform accountability, preventive measures, reporting channels, victim support, and respect for consent.