According to my scope of the subjects. Artificial intelligence in a very strict sense should only contain questions pertaining to how we can create truly intelligent (creative, aware, etc.) machines. Whereas data science is directly the manipulation of data in order to produce tools to make something better (image detection, intrusion detection, etc.). The separation is very blurry and I do not think that intelligence can exist without information/data, and its manipulations. However, most machine learning and deep learning demonstrated are simply conducting complex function approximations.
However, due to the popularization of machine learning and especially deep learning, the manipulation of data has created the impression of intelligent machine due to it being capable of competing with human performance in very targeted tasks (object recognition, segmentation, etc.). Evidently, the name artificial intelligence catches people's attention much more than data science or machine learning. Thus, it is common for news which is essentially generic data science/machine learning to be called artificial intelligence.
This is further demonstrated on the Artificial Intelligence site where the majority of the questions are pertaining more to data science and machine learning than truly discussing possibilities, methods or emerging work pertaining to machines capable of intelligence.