organization
Technical AI safety research
| Schmidt Sciences | $620,000 | 53% | 2 |
| Coefficient Giving | $547,051 | 47% | 2 |
| Date ↓ | Funder | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Jul 2025 | Coefficient Giving | University of Wisconsin-Madison | $253,018 | Interpretability | coefficient_giving | Non-Linear Probes for Feature Discovery & Steering (Sharon Li) |
| Jul 2025 | Coefficient Giving | University of Wisconsin-Madison | $294,033 | Technical AI safety research | coefficient_giving | Study on Inductive Biases of LLMs (Sharon Li) |
| Feb 11, 2025 | Schmidt Sciences | ~$370,000* | Technical AI safety research | schmidt_sciences | Project: A Conformal Safety Assurance Framework for Large Language Models. One of 27 AI Safety Science awards; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort) | |
| 2025 | Schmidt Sciences | ~$250,000* | Technical AI safety research | schmidt_sciences | Project: Reasoning with Foresight: Safe Inference via Q-Value Guided Decoding. Inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). Note: second Schmidt Sciences trustworthy-AI award to this PI. — Science of Trustworthy AI — Inference-Time Compute (2025 cohort) |
* Estimated from Schmidt Sciences' reporting of total given out in the funding round; grant-level amounts were not provided.