Opening the Black Box with Explainable AI [Hands-on]

Artificial Intelligence is often said to be a "black box" -- an opaque, almost mystical thing that we don't really understand. Throw data into the black box, and out comes a prediction, or so they say. However, much of AI is not opaque, it's just a complex system that "reasons" differently than we (think we) do. For example, kids learn to write by first experimenting with letters, and finding patterns in words. GPT-3 learned to write by training a generative text algorithm on the entire Internet, yielding a model with 175 billion parameters that, essentially, predict how "the Internet" would complete a prompt.