mit-64/25/2025

Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans

Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans Author(s) Suh, Ashley; Hurley, Isabelle; Smith, Nora; Siu, Ho ChitTerms of use Abstract This late-breaking work presents a large-scale analysis of explainable AI (XAI) literature to evaluate claims of human explainability. We collaborated with a professional librarian to identify 18,254 papers containing keywords related to explainability and interpretability. Of these, we find that only 253 papers included terms...