David Krueger

David Krueger is an Assistant Professor at the University of Cambridge, specializing in Machine Learning and Artificial Intelligence Safety.12 He focuses on reducing the risk of human extinction from artificial intelligence (AI x-risk) through technical research, education, outreach, governance, and advocacy.2

Krueger's research spans various areas of Deep Learning, AI Alignment, AI Safety, and AI Ethics, including:

1. Understanding learning and generalization in deep learning
2. AI alignment and safety
3. Reward modeling and reward gaming
4. Aligning foundation models
5. Preventing the development of socially harmful AI systems4

His academic background includes:

• PhD from the University of Montreal (2016-2022)3
• Master of Science in Computer Science from the University of Montreal (2013-2015)1
• Undergraduate studies at Reed College (2007-2011)3

Prior to his current position, Krueger was a graduate student at MILA (Montreal Institute for Learning Algorithms) and worked with renowned researchers like Yoshua Bengio, Roland Memisevic, and Aaron Courville.2

Krueger is affiliated with several institutions:

• Member of Cambridge's Computational and Biological Learning lab (CBL) and Machine Learning Group (MLG)4
• Research affiliate of Mila, UC Berkeley's Center for Human-Compatible AI (CHAI), and the Center for the Study of Existential Risk (CSER) at the University of Cambridge2

He has been featured in media outlets including ITV's Good Morning Britain, Al Jazeera's Inside Story, France 24, New Scientist, and the Associated Press.2