ARTIFICIAL INTELLIGENCE IN THE PREVENTION AND INVESTIGATION OF CRIMES AGAINST WOMEN: THE CASE OF SÃO PAULO'S WOMEN'S POLICE STATION

Artificial Intelligence (AI) is increasingly integrated into law enforcement strategies to address gender-based
violence (GBV), offering predictive, investigative, and forensic solutions that enhance institutional capacity.
This study investigates the role of AI in preventing and investigating crimes against women, with a special
emphasis on São Paulo’s Women’s Police Station (Delegacia da Mulher), recognized as a pioneering model in
Latin America. By combining predictive analytics, forensic dashboards, blockchain-based evidence
management, and open-source intelligence (OSINT), the study proposes a framework capable of reducing
forensic backlog, improving clearance rates, and enabling early intervention in high-risk cases. Comparative
perspectives from the European Union, the United States, and Interpol highlight best practices and ethical
safeguards. The findings demonstrate that AI integration, if ethically governed, can transform public security
responses to gender-based violence in Brazil and beyond.