Cynthia Rudin is a computer scientist and statistician at Duke University, specializing in interpretable machine learning, which means that she develops machine learning models whose reasoning processes can be understood by humans. An important aspect of her work is interactive machine learning, where humans need to interact with machine learning algorithms to include intent into the models, but machine learning algorithms are notoriously difficult to interact with. Her latest approach revolutionizes the way humans can program intent into these algorithms; they produce all of the good models at once (a “Rashomon set”) and develops visualization tools that allow humans to look through the models as if they were thumbing through a dictionary. She is the winner of the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains. This is a million dollar prize, which is similar only to prestigious awards like the Turing Award or Nobel Prize.