This repository is a curated list (awesome-list) aggregating resources on responsible machine learning, model interpretability, and explainable AI (XAI). Topics covered include fairness, transparency, privacy-preserving ML, AI governance, and AI safety. The collection has since been reorganized and expanded into the HallResearch.ai Library organization, with this repository preserved as a legacy entry point.