Hallessa de Fátima da Silva Pimentel, Julia Sunmy Aguni Chunga, Ana Maria José Garcia João Pascoal, Dulce Aparecida Barbosa, Claudia Galindo Novoa, Hugo Fernandes
artificial intelligence models for addressing violence against vulnerable populations require verification, data protection, social governance and testing with a high level of evidence.
OBJECTIVES: to map and summarize the main applications of artificial intelligence in addressing interpersonal violence against vulnerable populations.
METHODS: a scoping review was conducted between December 2024 and February 2025 in the PubMed, Web of Science, Embase, PsycINFO, and CINAHL databases, as well as grey matter databases. Editorials, retractions, and studies of self-inflicted violence were excluded.
RESULTS: 750 texts were found. After applying the eligibility criteria, a sample of ten materials was obtained. The studies were grouped into the categories "Prediction and automated monitoring of violence", "Decision support, technological innovation in health and social protection" and "Ethics, security, and social impact of artificial intelligence in vulnerable contexts".
CONCLUSIONS: artificial intelligence models for addressing violence against vulnerable populations require verification, data protection, social governance and testing with a high level of evidence.