Olga Russakovsky

Dr. Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University. Her research focuses on computer vision, with integration into machine learning, human-computer interaction, and fairness, accountability, and transparency. She has received several awards, including the PAMI Young Researcher Award, the NSF CAREER award, and the MIT Technology Review's 35-under-35 Innovator award. She co-founded and continues to serve on the Board of Directors of the AI4ALL nonprofit. Dr. Russakovsky completed her Ph.D. at Stanford University and her postdoctoral fellowship at Carnegie Mellon University.

Olga Russakovsky is an associate professor at Princeton University specializing in computer vision. Her research focuses on advancing visual recognition systems through large-scale datasets and addressing biases in machine learning. She has contributed to significant challenges like the ImageNet Large Scale Visual Recognition Challenge and developed methods for fairness in visual recognition. Her work includes strategies for bias mitigation, such as filtering and balancing datasets, and exploring human-machine collaboration for object annotation. She also investigates racial and intersectional biases in image captioning and explores the role of human uncertainty in improving classification robustness. Her research emphasizes scalable annotation techniques and the integration of fairness into visual recognition systems.