May 20, 2026AI Research
Epistemic Humility in Neural Network Interpretability
Current interpretability methods reveal correlations between model internals and human-legible concepts, but conflating correlation with causal explanation leads to overconfident claims about how these systems actually reason.
Machine LearningPhilosophy of ScienceAI