The University of Wisconsin–Madison is one of the leading public research universities in the United States, founded in 1848 and guided by the Wisconsin Idea — that education should improve lives beyond campus boundaries. In the context of AI safety and existential risk, UW-Madison hosts the Wisconsin AI Safety Initiative (WAISI), a student-led organization with PhD and graduate safety scholars conducting technical and policy AI safety research, as well as faculty such as Yiqiao Zhong in the Statistics department whose work focuses on LLM interpretability, deep learning theory, and the evaluation of language model safety. The university's RISE-AI initiative is substantially scaling AI faculty hires and interdisciplinary research.
Funding Details
- Annual Budget
- $4,950,000,000
- Monthly Burn Rate
- -
- Current Runway
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- Funding Goal
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- Funding Raised to Date
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- Fiscal Sponsor
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Theory of Change
UW-Madison contributes to AI safety primarily through academic research and talent development. Faculty like Yiqiao Zhong advance the theoretical foundations of LLM interpretability and safety evaluation, building the scientific basis for understanding and correcting dangerous AI behaviors. Student programs like WAISI create a pipeline of technically skilled AI safety researchers and policy advocates trained at a leading research institution, increasing the number of people working on AI risk reduction. Institutional AI initiatives aim to ensure that as AI capabilities expand, human-centered and safety-conscious perspectives are embedded in the research enterprise from the start.
Grants Received
from Open Philanthropy
from Open Philanthropy
from Survival and Flourishing Fund
Projects
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Details
- Last Updated
- Apr 2, 2026, 9:53 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC