La vivienda como infraestructura de datos IoT, inferencias automatizadas

The digitalization of the built environment is progressively transforming residential buildings into infrastructures capable of continuously generating and processing data. Through the integration of sensors, connected devices and analytical platforms, smart buildings enable the monitoring of environmental conditions, energy consumption and access events within residential spaces. While these technologies offer significant opportunities for improving efficiency, maintenance and resource management, they also introduce new challenges related to the production, interpretation and governance of data generated through everyday interactions with the built environment. This research examines how the integration of Internet of Things (IoT) technologies in residential infrastructures alters the conditions under which data is produced and interpreted within the domestic environment. The study analyzes the emergence of automated inferences derived from technical sensor data, the potential for automated decision-making in building management systems, and the implications these dynamics may have for privacy, autonomy and fundamental rights. By combining technical analysis of IoT infrastructures with legal examination of European regulatory frameworks—particularly the General Data Protection Regulation (GDPR) and the Artificial Intelligence Act—this work proposes an interpretative framework for understanding residential buildings as socio-technical systems that mediate the relationship between inhabitants, data and automated governance mechanisms.