Artificial intelligence (AI) is leading a revolution in the battle against domestic violence by introducing new methods to assist in preventing and responding to such cases. The latest report from the National Statistics Office reveals an increase in the number of victims seeking support services due to domestic abuse, with the majority being women.

In comparison to traditional risk assessment methods, machine learning techniques have shown to be more accurate in identifying vulnerable victims of domestic violence. These techniques help predict the likelihood of future assaults, allowing law enforcement to intervene and protect victims more effectively.

By automating risk assessment and using machine-learning systems, the police can analyze information such as criminal records and reported violence cases to predict potential domestic violence incidents accurately. These systems can help in situations where immediate intervention is required but responses from authorities may be delayed.

Through the use of AI-driven technology, victims of domestic violence are provided with various tools for assistance and prompt support. Safety apps, wearable devices like SOS bracelets, and SMS-based services enable victims to seek help discreetly and ensure their safety during times of trouble.

Technology and AI play a crucial role in supporting domestic abuse victims by filling gaps in data, documentation, reporting, and policy. Crowdsourcing sites like #StopFemicides shed light on the issue of domestic violence and encourage policy changes by raising awareness and pressuring policymakers to take action. AI tools using natural language processing can detect patterns of online harassment and domestic violence to help experts and law enforcement predict and prevent potential incidents.