Artificial Intelligence works on billions of data points, from consumer habits to airplane routes, and adjusts its program to match supply and demand.
As global commerce transforms from one driven by humans to one driven by machines, the merging of human and machine intelligence promises to create new products and services.
Much of what we already use—everything from Google search to Google Home to any app on your smartphone—is already being manipulated by AI.
We’re also using AI to make smarter decisions about our food and the knowledge we gain about our own bodies.
But AI doesn’t always work as intended. The common theme is that machines can fail to detect or interpret the effect that something they are programmed to do has on a person.
Artificial Intelligence is compatible with vernacular language. In fact, there are large gaps in understanding between human and artificial intelligence.
I don’t see how it could be. The vast majority of our vocabulary is word-formation. Most words have parts of speech. Words like robot and human are not words, but their parts of speech.
Machines don’t have to have brains to make sense of words and sentences. A machine with one computer brain and dozens of servers all communicating over a network would not just understand a novel by author John Steinbeck.
It would have a literary theory and grasp the central themes of the novel, because human authors construct their plots from these central themes.
And we humans can guess what an artificial brain would do at a particular point in the novel.
As a result, Artificial Intelligence works on essentially identical mathematics to the human brain.
On the other hand, while it doesn’t capture the full form of human experience, it helps us to recognize the things that aren’t human at all.
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