Artificial Intelligence is where we teach the dog to hunt on its own.
What it returns with tells us something about the rules in which we set the dog up with in the first place and where, in the dog's travels, the new rules and observations it's picked up along the way either confirm or surprise us.
The form of Artificial Intelligence used in these works is called "Generative Adversarial Networks" (GAN). It's essentially a mathematical boxing match used to arrive at "what constitutes a recognizable thing?".
These images are created based on a selection of "boxing matches" curated by the artist but within a range of rules defined by billions of trial-and-error efforts that have trained the computer to recognize certain visual aspects of people and things in the world around us.
I've curated each, manipulating the images to explore "expressions" that the computer understands mathematically but without the ability to empathize (to place itself within the experience of...) with the work itself.
We (you and me), are then taking the results of a mathematical construct and infusing it with the last mile of what it means to understand something: intellectual and emotional meaning.