Home / Focus Areas / Global Catastrophic Risks / Potential Risks from Advanced Artificial Intelligence

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UC Berkeley — AI Safety Research (2019)

Organization Name 
UC Berkeley
Award Date 
12/2019
Grant Amount 
$1,111,000
Purpose 
To support research relevant to potential risks from artificial intelligence and machine learning, led by Jacob Steinhardt.
Topic (focus area) 
Potential Risks from Advanced Artificial Intelligence

Grant investigator: Daniel Dewey

This page was reviewed but not written by the grant investigator. UC Berkeley staff also reviewed this page prior to publication.

Open Philanthropy recommended a grant of $1,111,000 over three years to UC Berkeley to support research relevant to potential risks from artificial intelligence and machine learning, led by Jacob Steinhardt. This funding will allow Professor Steinhardt to fund students to work on robustness, value learning, aggregating preferences, and other areas of machine learning.

This falls within our focus area of potential risks from advanced artificial intelligence.