Culture Awareness in Intelligent Systems

Understanding how the data used to train intelligent systems affects their behaviour is a critical task in the Artificial Intelligence field. It is also known that making artificial agents capable of adapting their actions according to the culture improves their interaction with humans. For this reason, it may be crucial to know how the cultural component inside data affects the prediction of intelligent systems. In this paper, we propose a method to acknowledge the cultural factor inside data, and we show some preliminary results obtained by using Random Forest and Support Vector Machine models on two publicly available datasets.