This lecture explores the current and emerging applications of AI in intelligent building management, from fault detection and predictive maintenance to demand forecasting, occupancy prediction, and chiller optimisation. It introduces reinforcement learning for building control and examines its potential for energy savings and adaptive performance. The lecture also addresses critical ethical and privacy concerns, emphasising data minimisation, transparency, human oversight, and responsible AI governance.