Homelessness and artificial intelligence: between longstanding issues and new perspectives

Abstract

The use of Artificial Intelligence for Social Good (IA4SG) (Floridi, 2022) represents an emerging field of research that brings together technological, social, and ethical knowledge. This paper explores the potential of AI in the field of homelessness, investigating whether the integration of machine learning systems and predictive analytics can enhance prevention strategies and the protection of the rights of homeless individuals (Contucci, 2019). By analysing some experimental models already in operation, the article reflects on the role of algorithms in the early detection of housing risk situations. However, the adoption of such technologies raises ethical and political issues, related to data management, transparency in decision-making processes, and the potential reinforcement of structural inequalities (Eubanks, 2021; Zuboff, 2019; Pasquale, 2015). The article highlights how a multidisciplinary approach can contribute to the development of fairer, more reflective, and socially just systems.