Olga Russakovsky is an associate professor of computer science at Princeton University. Her research focuses on computer vision and machine learning, with a particular emphasis on understanding and mitigating societal biases in visual recognition systems. She was one of the leaders of the ImageNet Large Scale Visual Recognition Challenge, a pivotal effort in the development of modern Deep learning and Artificial intelligence. Russakovsky has been recognized by MIT Technology Review as one of the world's top young innovators.
Russakovsky is Ukrainian-American. She studied mathematics at Stanford University and remained there for her doctoral studies. Initially, she dismissed computer science and felt disconnected from research, being the only woman in her laboratory. The arrival of Fei-Fei Li at Stanford changed her trajectory. Russakovsky completed her PhD in computer vision in 2015, during which she worked with Li on image classification. She developed an algorithm that could separate selected objects from the background, which made her acutely aware of human bias in data. She also worked on mechanisms to reduce the burden of image classification on human annotators, by asking fewer, and more generalized, questions about the images being inspected. Together with Li, Russakovsky developed ImageNet, a database of millions of images that is now widely used in computer vision.
Research and career
After her PhD, Russakovsky was a postdoctoral research fellow at Carnegie Mellon University. She then joined Princeton University as an associate professor of computer science. Her research investigates the historical and societal bias within visual recognition and the development of computational solutions that promote algorithmic fairness. For example, in 2015, a new photo identification application developed by Google labeled a black couple as "gorillas". At the time, only 2% of Google's workforce were African American. Russakovsky has emphasized that while the workforces designing Artificial intelligence systems are not diverse enough, only improving the diversity of computer scientists will not be sufficient for rectifying algorithmic bias. Instead, she has involved training Deep learning models that de-correlate protected characteristics such as race or gender. In 2019, she was awarded a Schmidt DataX grant to study accuracy in image captioning systems.
Public engagement
Russakovsky has been involved in several initiatives to improve access to computer science and public understanding of Artificial intelligence. She serves on the board of AI4ALL, a foundation that looks to improve diversity in AI. As part of AI4ALL, Russakovsky led a summer camp for high school girls. She ran the first summer camp in 2015, named the Stanford Artificial Intelligence Laboratory's Outreach Summer Program (SAILORS). By 2018, it had expanded into six other US campuses. She has launched similar initiatives at Princeton University. The summer camp looks to keep bias out of AI by educating people from diverse backgrounds about computer science, Machine learning, and policy.
Selected publications
Russakovsky is the lead author of "ImageNet Large Scale Visual Recognition Challenge", published in the International Journal of Computer Vision in 2015. The paper describes the creation of a publicly available dataset of millions of images of everyday objects and scenes, and its use in an annual competition between visual recognition algorithms from participating institutions. The paper discusses the challenges of creating such a large dataset, the developments in algorithmic object classification and detection that resulted from the competition, and the state of the object recognition field at the time of publication. According to the journal website, the article has been cited over 5,000 times. According to Google Scholar, which includes citations of the pre-print on arXiv, the article has been cited over 13,000 times in total. Russakovsky is the author of more than 20 other academic articles, six of which have been cited more than 100 times each, according to Google Scholar.
Awards and honours
Russakovsky's awards and honours include:
- 2015 Foreign Policy 100 Leading Global Thinkers
- 2016 PAMI Everingham Prize
- 2017 MIT Technology Review 35 under 35
- 2020 Anita Borg Early Career Award (BECA)