Cynthia Rudin
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Cynthia Rudin
Cynthia Diane Rudin (born 1976) is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics and bioinformatics. In 2022, she won 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. Education and career Rudin graduated summa cum laude from the University at Buffalo with a double major in mathematical physics and music theory in 1999. She completed her Ph.D. in applied and computational mathematics at Princeton University in 2004. Her dissertation – entitled ''Boosting, Margins, and Dynamics –'' was supervised by ...
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Cynthia Rudin JSM 2020
Cynthia is a feminine given name of Greek language, Greek origin: , , "from Mount Cynthus" on Delos island. The name has been in use in the Anglosphere since the 1600s. There are various spellings for this name, and it can be abbreviated to Cindy (given name), Cindy, Cyndi, Cyndy, or occasionally to Thea (name), Thea or Thia. Cynthia was originally an epithet of the Greek goddess Artemis, who according to legend was born on Mount Cynthus. Selene, the Greek personification of the moon, and the Roman Diana (mythology), Diana were also sometimes called "Cynthia". Usage It has ranked among the 1,000 most used names for girls in the United States since 1880 and among the top 100 names between 1945 and 1993. It peaked in usage between 1956 and 1963, when it was among the 10 most popular names for American girls. It has since declined in use in the United States and ranked in 806th position on the popularity chart there in 2021. It was also among the top 100 names in use for girls in C ...
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Human-Centered Artificial Intelligence
Human-centered computing (HCC) studies the design, development, and deployment of mixed-initiative human-computer systems. It is emerged from the convergence of multiple disciplines that are concerned both with understanding human beings and with the design of computational artifacts. Human-centered computing is closely related to human-computer interaction and information science. Human-centered computing is usually concerned with systems and practices of technology use while human-computer interaction is more focused on ergonomics and the usability of computing artifacts and information science is focused on practices surrounding the collection, manipulation, and use of information. Human-centered computing researchers and practitioners usually come from one or more of disciplines such as computer science, human factors, sociology, psychology, cognitive science, anthropology, communication studies, graphic design and industrial design. Some researchers focus on understanding ...
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