Emotion detection: show me your face, I'll tell you how you feel? Thanks to sensors, the machine is able to detect the external appearances of our emotions, those that can be read on our face. On the other hand, these sensors cannot understand the origin of these emotions. Emotion detection using AI sensors These areas where the machine is not about to overtake the man Where the machine makes many advances to try to match or surpass human capabilities, it can compete with man. But there are still many areas where the machine lags far behind the capabilities of man.
Mastery of language: do you speak human? Mastering language is not just about speaking a language, it is also about recognizing speech, understanding their meaning, interpreting fax list and relaying language. Language is a highly developed field of AI application. Language processing covers many application areas such as speech recognition, chatbots, translation, voice agents etc. While the progress in these areas is notable, there is still room for improvement. If we take the example of chatbots, these conversational agents capable of interacting with humans, we are still far from the perfect chatbot. At the moment, most chatbots answer predefined questions by following dialog patterns.
They are not yet quite capable of answering open-ended questions. To be completely successful, chatbots should fool us in open conversations. It is besides the famous test of Turing which consists in determining if one converses with a computer or one with a human. If, in 2014, the chatbot Eugene Goostman would have passed this test, this success remains nevertheless contested, as well as the test itself.