Natural language generation involves the capacity for AI to step in between data and humans to generate explanatory narratives that increase the efficiency of commercial data.

The automated narration of business data relies on conformity to a limited number of narrative scripts. Narrative Science generates narrative as a service through the use of their natural language processing software, Quill. link

Education and health are two sectors likely to make use of this service layer in the future.


In the world of machines, repeatability translates into scale. Because so many of the stories, reports and narratives that we use to communicate with each other are the same, the types of processing that are required to support their generation is the same as well. There are always differences, but the reality is that even these differences can be captured, characterized and then turned into the parameters for systems that generate the stories we care about. There is a natural, human desire to believe that the exact opposite of this is true, a desire to believe that everything we do is unique and absolutely and fundamentally different than anything that anyone else does. But when it comes to communicating things about the world, this idea of uniqueness is the enemy. In fact, our ability to draw the variety of information about the world into clear and coherent categories is part of what makes us intelligent in the first place.

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Reflection: Geoff Schullenberger notes that NLG takes robotics into the terrain of the mechanical automaton, and unsettles our faith in human handwriting as a marker of authenticity. link

But NLG is the obvious pair to robotic speech. See Voice of Siri.

All of this is tangled up in odd ways with the psychograph.