From detection to protection:
artificial intelligence and victim management in urban vulnerability contexts.
DOI:
https://doi.org/10.26250/heal.panteion.uc.v6i1.380Keywords:
artificial intelligence, AI, predictive policing, victim identification, fear of crime, trust, gender based violence, refugees, human trafficiking, surveillance ethicsAbstract
This study examines the contribution of Artificial Intelligence (AI) tools to the management of crime victims in large urban environments with a focus on phenomena such as domestic violence, human trafficking, sexual abuse, and refugee vulnerability. Drawing on the theoretical framework of the "culture of control" (Garland, 2001) and predictive policing technologies, the research explores how digital tools contribute to the identification and enhanced protection of victims, as well as their influence on public trust and insecurities. Focusing on the characteristics of the urban context, the study analyzes the use of such technologies either as a lever of social trust or as a potential mechanism of surveillance.