"Machines are very limited in learning and predicting the consequences of new interactions. ...From the limited data provided by the sensors, the designers must infer what might actually be going on and what actions the machine ought to take....The fundamental restriction on people's successful interactions with machines is the lack of common ground". - "The Design of Future Things" - Donald Norman
During the pre-social network times, all machines could do was, realize a tree of guesses which is modeled off the designer's imagination and with communication through a refined Eliza-like interface. 'intelligence' is hard-wired apriori, without regard to context.
In this Era of Participation, where you tweet, retweet and your communication with certain people in your social graph, machines can establish a common ground, from this data fairly well and constantly "revise" this common ground based on feedback.
Thus, with the socnet interactions providing the richness of interpretation of context, machines can 'adapt' the context, fairly well.
If this Artificial Intelligence is designed well to connect to the Social Expression, we would arrive at a new level of fluidity in Artificial Intelligence... Augmented Artificial Intelligence.
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