Maria De-Arteaga is an Associate Professor in the Department of Data, Analytics, Technology, and Artificial Intelligence at ESADE Business School, where she is the Director of the Artificial Intelligence and Data-Driven Decisions Institute (AID3).
Her research focuses on human-centered machine learning (ML) and artificial intelligence (AI), with particular emphasis on human-AI collaboration and algorithmic fairness. Her work characterizes risks of algorithmic bias, proposes novel algorithms and sociotechnical interventions to mitigate those risks, and develops systems for human-AI augmentation. Crucial to her research is also the question of when not to use AI. Her work is driven by a belief in our collective agency and responsibility to shape the technologies we build or adopt.
Her work has appeared in leading management and computer science venues, including Management Science, Production and Operations Management, Big Data & Society, NeurIPS, AAAI, IJCAI, CHI, CSCW, FAccT, and NAACL. Her research has received funding from NIH, Google and Microsoft Research, as well as best-paper distinctions at major conferences. She is an Associate Editor at the INFORMS Journal on Data Science and previously served on the Executive Committee of ACM FAccT. Her expertise has been featured in The New York Times, The Wall Street Journal, CNN, El País, and MIT Technology Review.
Before joining ESADE, Prof. De-Arteaga was an Assistant Professor at the University of Texas at Austin. She holds a joint PhD in Machine Learning and Public Policy from Carnegie Mellon University, an MSc in Machine Learning from Carnegie Mellon University, and a BSc in Mathematics from Universidad Nacional de Colombia.
PhD advising: If you would like to work with Prof. De-Arteaga, consider Esade’s fully funded MRes program, which then offers transfer to the PhD (occasional direct admits to the PhD may also be considered).
Previously advised: Jakob Schoeffer (postdoc); Soumyajit Gupta (PhD, CS@UT Austin); Terry Neumann (PhD, IS@UT Austin); and Yunyi Li (PhD, IS@UT Austin); Jennifer Mickel (bachelors, CS & math@UT Austin), Riya Cyriac (bachelors, IS@UT Austin)
Maria De-Arteaga, PhD 