Yang Receives SIGCHI Outstanding Dissertation Award

Qian Yang, a 2020 graduate from the HCI Ph.D. program, received a 2021 SIGCHI Outstanding Dissertation Award. She is now an assistant professor in information science at Cornell University.
Qian Yang, a 2020 graduate from the HCI Ph.D. program, received a 2021 SIGCHI Outstanding Dissertation Award. She is now an assistant professor in information science at Cornell University.
Three Carnegie Mellon University research teams have received funding through the Program on Fairness in Artificial Intelligence, which the National Science Foundation sponsors in partnership with Amazon. The program supports computational research focused on fairness in AI, with the goal of building trustworthy AI systems that can be deployed to tackle grand challenges facing society.
Anhong Guo, who recently completed his Ph.D. in the Human-Computer Interaction Institute (HCII) and next month will join the University of Michigan faculty, was named to the 2021 Forbes "30 Under 30" in science for his work on combining human and artificial intelligence to make visual information more accessible.
From yawning to closing the fridge door, a lot of sounds occur within the home. Such sounds could be useful for home-based artificial intelligence applications, but training that AI requires a robust and diverse set of samples. A video game developed by Carnegie Mellon University researchers leverages live streaming to collect sound donations from players that will populate an open-source database.
How can students learn to make their civil discourse more productive? One Carnegie Mellon University researcher proposes an AI-powered video game. The educational system targeted toward high schoolers adapts to students' specific values and can be used to measure — and in some cases reduce — the impact of bias.
Carnegie Mellon University has shaped artificial intelligence (AI) from the field’s very beginning. Today, researchers from all seven colleges across CMU continue to define AI as the next frontier in human progress and are working to help solve problems in areas from healthcare to education.
People who manage public facilities and spaces during the COVID-19 pandemic have lots of new questions that artificial intelligence and computer vision technology could help answer, such as: