Skip to content

California · Public charity

Partnership on Ai to Benefit People and Society

Bringing diverse voices together across global sectors, disciplines, and demographics so developments in ai advance positive outcomes for people and society.

$21k
Granted FY2021
1
Itemized grants FY2021
1
Organizations funded FY2021
0%
First-time grantees FY2021
Read the full brief
Itemized, FY2021
$15k
The rest is grants the schedule does not break out
Median grant, FY2021
$15,000
Largest grant, FY2021
$15,000
Organizations funded a year
1 to 8
FY2018 to FY2021
States reached, FY2021
1
Total assets, FY2021
$8.4M

How open it is to new grantees

In FY2021, 0% of the organizations Partnership on Ai to Benefit People and Society funded were first-time grantees, receiving 0% of its grant dollars.

New vs renewed · share of each year

In FY2021, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’19’20’21
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’19’20’21
EducationInternationalScience & TechOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.
The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20211$15k0%
FY20208$218k75%
FY20196$118k100%
FY20181$250kn/a
94% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2021.

Science & Tech$275kEducation$198kCivil Rights$40kHealth$25kEmployment$23kCommunity Improvement$20kInternational$10kOther$0

Where its grants go

Grant dollars by states, across the years we hold.

Which US states its grants reach

WA
NY
MA
PA
NJ
CA
VA
DC

Top grantees

Largest recipients by total granted, FY2018 to FY2021, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Carnegie Mellon University$125,55110%
Black in Ai$47,00027%
Witness Inc$40,00030%
The Trustees of Princeton University$25,00010%
University of Washington$22,5001n/a
Open Imagery Network Inc$10,00011%

Plus 7 recipients with no EIN on record ($330k), not named here.

Compare Partnership on Ai to Benefit People and Society with peer funders

About Partnership on Ai to Benefit People and Society

How much does Partnership on Ai to Benefit People and Society give?
Partnership on Ai to Benefit People and Society reported 1 itemized grants totaling $15,000, out of $20,950 in total grant expense reported on the return in its FY2021 IRS filing. It funded between 1 and 8 organizations a year over FY2018 to FY2021.
What does Partnership on Ai to Benefit People and Society fund?
By grant dollars over FY2018 to FY2021, its largest causes are Science & Tech (46%), Education (33%), Civil Rights (7%).
Who are Partnership on Ai to Benefit People and Society's largest grantees?
By total granted over FY2018 to FY2021: Carnegie Mellon University ($126k), Black in Ai ($47k), Witness Inc ($40k).
Does Partnership on Ai to Benefit People and Society fund new organizations?
In FY2021, 0% of the organizations it funded were first-time grantees.
Where is Partnership on Ai to Benefit People and Society based?
Partnership on Ai to Benefit People and Society is based in CA.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 13 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990 e-file return for fiscal year 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2021, the most recent year this funder made grants.

Source object · view filing

Play a game based on Partnership on Ai to Benefit People and Society’s filings →

More from the funding graph