Decoding AI: Interpretability Explained.

So for my dissertation, initially, I wanted to work in interpretability, which is essentially the idea of trying to read the brain of an AI.

So this is understanding what it's thinking on the inside and how it's getting to the output that it's giving.

Exactly. So there's two motivations for doing this. One reason is to increase our own intelligence. If we can understand how intelligent systems work and they're more competent than us, then we can implement those same solutions and become more intelligent ourselves.