organization
Technical AI safety research
| FTX Future Fund | $280,000 | 62% | 1 |
| Coefficient Giving | $171,773 | 38% | 2 |
| Date ↓ | Funder | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Aug 2023 | Coefficient Giving | University of Utah | $31,773 | Alignment methods | coefficient_giving | Course on Human-AI Alignment (Daniel Brown) |
| Apr 2023 | Coefficient Giving | University of Utah | $140,000 | Alignment methods | coefficient_giving | AI Alignment Research (Daniel Brown) |
| 2022 | FTX Future Fund | University of Utah | $280,000 | Technical AI safety research | ftx_future_fund | We recommended a grant to support research on value alignment in AI systems, practical algorithms for efficient value alignment verification, and user studies and experiments to test these algorithms. — Artificial Intelligence |