Learning Machines: Polo Chau Explains Data Visualizations
Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work.
Today we talked with Polo Chau, the associate director for corporate relations at ML@GT, an associate professor in the School of Computational Science and Engineering, and director of industry relations for the Institute for Data and Engineering Science (IDEaS.)
Chau’s research group, The Polo Club of Data Science, works at the intersection of data-mining and human-computer interaction. They create scalable, interactive, and interpretable tools that amplify human’s abilities to understand and interact with billion-scale data and machine learning models.
We spoke to Chau about a technique called large graph visualization.
Contrary to reports, @OpenAI probably isn’t building humanity-threatening #AI@GeorgiaTech professor @mark_riedl gives a good overview of the problem and expert context. https://t.co/GnM3VvsiBe pic.twitter.com/9v9nF1Wszm— Georgia Tech Computing (@gtcomputing) November 29, 2023
A wrongful arrest. A “racist robot.” A call for new laws.— Georgia Tech Computing (@gtcomputing) November 10, 2023
A @GeorgiaTech experiment trained a robot to seemingly act out racist behavior, to prove bias can exist in #AI. @MatthewGombolay opens up his lab to show where research can help address tough social issues. https://t.co/21F7IV0vbH pic.twitter.com/P3GD29lth1