Grant to "support a project to develop interactive AI algorithms for alignment that can uncover the causal features in human reward systems, and thereby help AI systems learn underlying human values that generalize to new situations."
grantFailed source checkChild of FTX Future Fund
Metadata
| Source Table | grants |
| Source ID | Khg4W372JB |
| Description | to University of California, Berkeley, USD 800000, 2022-05 |
| Source URL | web.archive.org/web/20221101/https://ftxfuturefund.org/our-grants/ |
| Parent | FTX Future Fund |
| Children | — |
| Created | Mar 12, 2026, 4:51 PM |
| Updated | Mar 25, 2026, 3:13 AM |
| Synced | Mar 12, 2026, 4:51 PM |
Record Data
id | Khg4W372JB |
organizationId | FTX Future Fund(organization) |
granteeId | University of California, Berkeley(organization) |
orgEntityId | FTX Future Fund(organization) |
orgDisplayName | — |
granteeEntityId | University of California, Berkeley(organization) |
granteeDisplayName | University of California, Berkeley |
name | Grant to "support a project to develop interactive AI algorithms for alignment that can uncover the causal features in human reward systems, and thereby help AI systems learn underlying human values that generalize to new situations." |
amount | 800000 |
currency | USD |
period | — |
date | 2022-05 |
status | — |
source | web.archive.org/web/20221101/https://ftxfuturefund.org/our-grants/ |
notes | [AI safety] Grant to "support a project to develop interactive AI algorithms for alignment that can uncover the causal features in human reward systems, and thereby help AI systems learn underlying human values that generalize to new situations." |
programId | rHlJJ8FpqP |
dataSourceId | — |
Source Check Verdicts
unverifiable100% confidence
Last checked: 4/29/2026
1 → unverifiable
Debug info
Thing ID: Khg4W372JB
Source Table: grants
Source ID: Khg4W372JB
Parent Thing ID: sid_JhIGCaI3Ng