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Grant: UC Berkeley — AI Safety Research (2019) (Coefficient Giving → University of California, Berkeley)

Verdictconfirmed95%
1 check · 4/13/2026

Deterministic match: grantee, amount, date matched in source snapshot (2714 rows)

Our claim

entire record
Name
UC Berkeley — AI Safety Research (2019)
Amount
$1,111,000
Currency
USD
Date
December 2019
Notes
[Navigating Transformative AI] Grant investigator: Daniel Dewey This page was reviewed but not written by the grant investigator. UC Berkeley staff also reviewed this page prior to publication. Open Philanthropy recommended a grant of $1,111,000 over three years to UC Berkeleexpand[Navigating Transformative AI] Grant investigator: Daniel Dewey This page was reviewed but not written by the grant investigator. UC Berkeley staff also reviewed this page prior to publication. Open Philanthropy recommended a grant of $1,111,000 over three years to UC Berkeley to support research relevant to potential risks from artificial intelligence and machine learning, led by Jacob Steinhardt. This funding will allow Professor Steinhardt to fund students to work on robustness, value learning, aggregating preferences, and other areas of machine learning. This falls within our focus area of potential risks from advanced artificial intelligence.

Source evidence

1 src · 1 check
confirmed95%deterministic-row-match · 4/13/2026
Name
UC Berkeley — AI Safety Research (2019)
Grantee
University of California, Berkeley
Focus Area
Navigating Transformative AI
Amount
$1,111,000.00
Date
December 2019

NoteDeterministic match: grantee, amount, date matched in source snapshot (2714 rows)

Case № ajrnQ2kO3rFiled 4/13/2026Confidence 95%
Source Check: Grant: UC Berkeley — AI Safety Research (2019) (Coefficient Giving -> University of California, Berkeley) | Longterm Wiki