arXiv paper argues explainability research should prioritize foundations over ad-hoc methods; current techniques fail to integrate into real-world workflows.
Read the original at arxiv.org→arXiv:2607.14123v1 Announce Type: new Abstract: Despite the proliferation of Explainable AI (XAI) techniques -- from feature attributions to sparse autoencoders -- explanations rarely influence real-world workflows....
Original headline: "Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods"