This process is called machine learning and human-machine interactions are realized by machine learning through artificial intelligence and through the process the virtual attributes of human beings become a part of human identity. Machine Learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Through machine learning, machines are able to categorize people’s interests and send out news feeds to people according to their interests “studied” by the machine. The virtual attributes marked by the machine eventually appears in the pervasively viewed virtual platform such as Facebook, Google and Twitter and these attributes are memorized by other human beings as they are also exploring these social platforms. For example, the artificial intelligence categorizes a person as a musician in the virtual space, and then others searching musicians will be able to see this person on the list, forcing this person to be a musician even if the artificial intelligent agent was wrong about this. The simulation machine of artificial intelligence simulates the process of human relationship through machine learning by letting people know each other through “tags” of people’s identities created by the machine. In the long run with social network occupying larger and larger portion of our daily communication, people’s virtual identities will be forced to be part of people’s original identity because machines ignore anonymity.

A different perspective is provided in the following audio, in which the bot, Eliza, mentioned in previous pages as the first bot ever invented by human beings, is not actually learning what human is, but instead reflecting human beings themselves. To listen to this interesting audio, please go to the following link: Clever Bots. In this little piece of audio, a different perspective of how machine are learning people is provided. 

There are also interesting examples from other articles in this book that are talking about this in a more non-technical way. See this example about hearing device, the fleshy machine. 
                                                                             

Sources:
1. Wikipedia, Machine Learning, https://en.wikipedia.org/wiki/Machine_learning