DARPA's Explainable Artificial Intelligence - XAI Program

This course aims to introduce learners to DARPA's Explainable Artificial Intelligence (XAI) Program. The course covers topics such as the importance of XAI, supervised machine learning, XAI strategy, program goals, program structure, various XAI techniques like heatmaps, network dissection, language translation, Gann, autonomy, differentiable physics, and surprising results in deep learning. The teaching method includes examples, program updates, Q&A sessions, and discussions on the correctness of explanations. This course is intended for individuals interested in understanding and implementing explainable AI techniques.