Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience

Martina G. Vilas, Federico Adolfi, David Poeppel +1

Inner Interpretability is a promising emerging field tasked with uncovering the inner mechanisms of AI systems, though how to develop these mechanistic theories is still much debat…