معرفی
Maria De-Arteaga is an Assistant Professor at the Information, Risk and Operation Management Department within the McCombs School of Business at the University of Texas at Austin. She holds joint appointments as a core faculty member in the Machine Learning Laboratory and as a researcher for Good Systems. She earned her PhD in Machine Learning and Public Policy from Carnegie Mellon University.
Her research focuses on algorithmic fairness, human-AI complementarity, and the societal impacts of machine learning. Key areas include characterizing how historical biases are reproduced in ML systems, developing bias mitigation techniques, and improving human-AI collaboration frameworks. Her work bridges technical ML methods with public policy considerations.
Recent publications demonstrate trends in fair decision-making systems, including studies on label indeterminacy problems, expert consistency modeling, and toxicity detection. Her interdisciplinary work spans healthcare, social computing, and human-AI interaction.
She advises multiple graduate students including Terry Neumann (IROM), Yunyi Li (IROM), and Soumyajit Gupta (CS), along with undergraduate student Riya Cyriac. Previously advised researchers include postdoc Jakob Schoeffer and undergraduate Jennifer Mickel.
