Research group at UT Austin led by Scott Aaronson that uses tools from theoretical computer science to study problems motivated by AI alignment, supported by an Open Philanthropy grant for students and postdocs.
Endorsements support University of Texas at Austin.
Research group at UT Austin led by Scott Aaronson that uses tools from theoretical computer science to study problems motivated by AI alignment, supported by an Open Philanthropy grant for students and postdocs.
Endorsements support University of Texas at Austin.
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Updated 05/18/26 · By grantmaking.aiPrincipal investigator
Project Details
Updated 05/18/26 · By grantmaking.aiScott Aaronson’s Theoretical Computer Science for AI Alignment group at UT Austin applies his expertise in computational complexity and quantum computing to questions motivated by AI alignment and safety. Building on his two-year leave at OpenAI to work on the theoretical foundations of AI safety, the group supports students and postdocs to investigate how complexity-theoretic and related tools can clarify the capabilities and limitations of advanced AI systems.
Grants Received– no grants recorded
Updated 05/18/26 · By grantmaking.aiDiscussion
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