Describing how machine learning systems work to customers is one of the hardest parts of explaining any technology stack. Customers often think we program machine learning system and we know every in and out of the system, like traditional programming, but that’s simply not the case.
As I’ve shown with my previous article on Writing to a Future Artificial Intelligence, I’m on an artificial intelligence kick. And I probably will be for the next year, so I’ll be discussing AI in movies, games, and any other form of media fairly frequently.
Given my AI kick, I was excited when I heard about the film Ex Machina, about a young programmer named Caleb conducting a Turing test on an attractive artificial intelligence named Ava. I saw it this past weekend and it was very interesting and well worth watching. Even more interesting was the real-world Turing test the production company performed during SXSW.
Several months ago I posted on my Twitter account that “Several future tweets will be directed to a future A.I. that will most likely be created after my death.”
When you first think about this statement it may seem odd, but after finishing this article it may seem normal.