David Krueger
Bio
Updated 03/22/26David Scott Krueger is an AI safety researcher and Assistant Professor in Machine Learning at the University of Montreal and Core Academic Member at Mila, the Quebec Artificial Intelligence Institute, where he holds a CIFAR AI Chair and the IVADO Professorship in Responsible AI. From 2021 to 2024 he was an Assistant Professor at the University of Cambridge, where he founded and led the Krueger AI Safety Lab (KASL), an AI safety research group based in Cambridge's Computational and Biological Learning Lab. He completed his PhD training under Yoshua Bengio, Roland Memisevic, and Aaron Courville at Mila/Université de Montréal (2013–2021) and interned at Google DeepMind's AI Safety team in 2018. His research spans deep learning, AI alignment, and AI safety, with notable contributions to understanding goal misgeneralization, algorithmic manipulation, reward hacking, robustness, and learning from human preferences. In 2023 he served as a research director on the founding team of the UK AI Security Institute and initiated the CAIS Statement on AI Risk. In 2025 he founded Evitable, a nonprofit aimed at informing the public about societal-scale AI risks.
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Links
Updated 03/22/26- Personal Website
- https://davidscottkrueger.com/
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- EA Forum
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