معرفی
Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University. She serves as Associate Director of the Princeton AI Lab and Chair of the Board of Directors at AI4ALL, a nonprofit dedicated to diversity in AI leadership. Her research focuses on computer vision, machine learning, human-computer interaction, and fairness in AI.
She specializes in developing AI systems that reason about the visual world, emphasizing fairness, accountability, and transparency. Her work integrates computer vision with ethical AI frameworks, and she is affiliated with Princeton’s Center for Statistics and Machine Learning and Center for Information Technology Policy. Her publications address biases in datasets, explainable AI, and generative models.
Her recent research trends include:
- Bias detection in datasets (e.g., CelebA, ImageNet)
- Interactive and explainable AI systems
- Generative models like diffusion and vision-language integration
- Deepfake detection and AI forensics
- Conceptual learning and few-shot training
Scientific awards:
- NSF CAREER Award for fairer computer vision systems
- Co-founder of AI4ALL and Stanford AI4ALL outreach programs
She advises students through AI4ALL initiatives and leads the Visual AI Lab, which focuses on robust, inclusive AI development. Her work bridges technical innovation with societal impact, particularly in diversity-focused education.
