National Science Foundation
www.nsf.gov · organization
Technical AI safety research
- Received
- $5,000,000
- from 1 funders
- Grants
- 1
- Funders
- 1
- Years active
- 2023
Grants over time
Biggest funders
| Coefficient Giving | $5,000,000 | 100% | 1 |
Biggest recipients
| Michael Odokara-Okigbo | $1,000,000 | 95% | 1 |
| Center for Security and Emerging Technology | $55,000 | 5% | 1 |
Grants received
| Date ↓ | Funder | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Apr 2023 | Coefficient Giving | $5,000,000 | Technical AI safety research | coefficient_giving | Safe Learning-Enabled Systems |
Grants made 3 · ~$1,055,000 · $527,500 average
| Date ↓ | Recipient | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Sep 4, 2025 | Will Pfalzgraff | — | Other | grantmaking_ai | Using generalized master equations and statistical physics in a chemistry context. Currently supports my regular (non alignment related) academic research into Mori-Zwanzig theory for chemistry. | |
| Sep 2024 | Michael Odokara-Okigbo | $1,000,000 | Other | grantmaking_ai | The NSF funding was intended to support the research and development of NKENNEAi’s African-language AI technology, including text-to-text translation, speech-to-text, and text-to-speech systems for languages such as Yoruba, Swahili, and Nigerian Pidgin. It also supported data collection and validation, model training, API development, security, testing, and the technical work needed to move the technology from research into commercial use. | |
| 2024 | Center for Security and Emerging Technology | ~$55,000* | Domestic policy | org_reported | Listed in CSET’s 2024 annual report donor tiers. |
* The source reports this donation in the $15,000–$199,999 tier; recorded at the geometric mean.