Given enough data state-of-the-art supervised learning algorithms can approximate behavior very well. However, the ability to imitate behaviour is not the same as intelligence. Supervised learning algorithms currently lack the ability to understand. Inherent in understanding is questioning data and negotiating interpretations of ambiguous observations.