Interpretability — Interpretability is the study of how AI models work inside and why they produce particular outputs. Neural networks are hard to understand because their knowledge is spread across billions of numbers. Interpretability research aims to make that knowledge readable. It could help detect deception, bias, and hidden flaws.

Added October 21, 2026