Index
Grant: Carnegie Mellon University — Robust AI Unlearning Techniques (Coefficient Giving → Carnegie Mellon University)
Verdictconfirmed95%
1 check · 4/9/2026Deterministic match: grantee, amount, date matched in source snapshot (2714 rows)
Our claim
entire record- Grantee
- Carnegie Mellon University
- Name
- Carnegie Mellon University — Robust AI Unlearning Techniques
- Amount
- $584,108
- Currency
- USD
- Date
- May 2025
- Notes
[Navigating Transformative AI] Open Philanthropy recommended a grant of $584,108 over two years to Carnegie Mellon University to support the development of robust unlearning techniques for AI. This research will be led by Professors Virginia Smith and Steven Wu. This grant was f… expand
[Navigating Transformative AI] Open Philanthropy recommended a grant of $584,108 over two years to Carnegie Mellon University to support the development of robust unlearning techniques for AI. This research will be led by Professors Virginia Smith and Steven Wu. This grant was funded via a request for proposals for projects related to technical AI safety research. This falls within our focus area of potential risks from advanced artificial intelligence.
Source evidence
1 src · 1 checkconfirmed95%deterministic-row-match · 4/9/2026
- Name
- Carnegie Mellon University — Robust AI Unlearning Techniques
- Grantee
- Carnegie Mellon University
- Focus Area
- Navigating Transformative AI
- Amount
- $584,108.00
- Date
- May 2025
NoteDeterministic match: grantee, amount, date matched in source snapshot (2714 rows)
Case № 4ARV-TA6imFiled 4/9/2026Confidence 95%