
XAI770K: Cracking Open the AI Black Box with 770,000 Reasons to Trust
Imagine a doctor reviewing an AI’s cancer diagnosis recommendation. The system is confident, but why? Which subtle pattern in the scan triggered it? Or picture a loan applicant denied by an algorithm. Was it their zip code, an unseen bias, or a legitimate financial factor? For years, these critical questions hit a wall – the infamous…