A. Mitelman

Explainability in AI and Machine Learning: Bridging the Gap Between Intelligence and Interpretation

The role of explainability in AI and ML is examined across diverse scientific fields, including medicine, psychology, geology, education, and public policy to better understand the technical and theoretical aspects that hinder explainability in general and specifically for each research domain and map how these can be...