grant
National Academies of Sciences, Engineering, and Medicine — Safety-Critical Machine Learning
Metadata
| Source Table | grants |
| Source ID | JYL7iDjSEQ |
| Description | to National Academies of Sciences, Engineering, and Medicine, $309,441, 2022-02 |
| Source URL | coefficientgiving.org/grants/ |
| Parent | ULjDXpSLCI |
| Children | — |
| Created | Mar 12, 2026, 5:54 AM |
| Updated | Mar 19, 2026, 8:57 PM |
| Synced | Mar 19, 2026, 8:57 PM |
Record Data
id | JYL7iDjSEQ |
organizationId | Coefficient Giving(organization) |
granteeId | National Academies of Sciences, Engineering, and Medicine |
orgEntityId | Coefficient Giving(organization) |
orgDisplayName | — |
granteeEntityId | — |
granteeDisplayName | National Academies of Sciences, Engineering, and Medicine |
name | National Academies of Sciences, Engineering, and Medicine — Safety-Critical Machine Learning |
amount | 309441 |
currency | USD |
period | — |
date | 2022-02 |
status | — |
source | coefficientgiving.org/funds/ |
notes | [Navigating Transformative AI] Open Philanthropy recommended a grant of $309,441 to the National Academies of Sciences, Engineering, and Medicine to support research on machine learning in safety-critical environments. This falls within our focus area of potential risks from advanced artificial int… |
programId | EXpTP-ujq6 |
dataSourceId | — |
Source Check Verdicts
confirmed95% confidence
Last checked: 4/9/2026
[deterministic-row-match] Deterministic match: grantee, amount, date matched in source snapshot (2714 rows)
Debug info
Thing ID: JYL7iDjSEQ
Source Table: grants
Source ID: JYL7iDjSEQ