Trees have emerged as the most popular choice of intrinsically interpretable models to represent policies in reinforcement learning. However, directly learning a tree policy poses challenges, prompting existing …
A self-driving car bumps into a lamppost. A doctor prescribes the wrong treatment to a patient based on an AI-based diagnostic tool. A missile is misfired by an AI-based defense system. An unfair decision provided by a …
--Prof. Cynthia Rudin-- For quite a long time, researchers and the public were thrilled by the wonders of machine learning. However, over the period of time, the community realized that the machine learning models …
