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Roger Grosse is an Associate Professor in the Department of Computer Science at the University of Toronto and holds the Schwartz Reisman Chair in Technology and Society. He is a founding member of the Alignment Science Team at Anthropic, where he focuses on training data attribution. Grosse is also a recipient of the Schmidt Sciences AI2050 Senior Fellowship, and the Sloan Fellowship, and he serves as the Canada CIFAR AI Chair. His research is centered around understanding neural network training dynamics and leveraging this understanding to improve training speed, generalization, uncertainty estimation, and automatic hyperparameter tuning. He is particularly interested in applying his findings to deep learning and AI alignment. Given the rapid advancements in AI technology, he recognizes the importance of ensuring that AIs are robustly aligned with human values. Some of his specific research directions involve efficiently identifying training examples responsible for unexpected AI behaviors, ensuring the safety of powerful AI systems against strategic deception, reliably eliciting information from models that are not fully trusted, and effectively removing harmful unwanted information from trained models.
Department of Sociology