Erik Jenner
Biography
Also an 'Open Philanthropy AI Fellow'
Advisor: Stuart Russell
Research on developing principled techniques for aligning even very powerful AI systems with human values
Erik is an incoming CS PhD student at UC Berkeley, advised by Stuart Russell. He is interested in developing techniques for aligning AI with human values that could scale to very powerful future AI systems. Previously, he has worked on reward learning with the Center for Human-Compatible AI, focusing on interpretability of reward models and on a better theoretical understanding of the structure of reward functions. Before joining Berkeley, Erik did a MSc in Artificial Intelligence at the University of Amsterdam, and an undergrad in physics at the University of Heidelberg.. For more information about his research, see his website https://ejenner.com.
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May 22, 2023
Halogen-catalyzed reactions on smoke destroy the ozone layer after regional nuclear war
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May 22, 2023
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May 22, 2023
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May 22, 2023
Improving the representation of crop production losses due to nuclear conflict (CODEC)
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May 22, 2023
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May 22, 2023
The cascading impacts of postnuclear ultraviolet radiation on photosynthesizers in the Earth system
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May 22, 2023
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May 22, 2023
WUDAPT-based framework for numerical simulations of nuclear urban fires and pyroconvective plumes
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May 22, 2023
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May 22, 2023
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May 22, 2023
Advanced ensemble projections for indirect impacts of nuclear war in global food systems
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May 22, 2023
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May 4, 2023
Nathan Labenz on the Cognitive Revolution, Red Teaming GPT-4, and Potential Dangers of AI
podcast
May 4, 2023
podcast