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Humane Intelligence

What it was engaged to test, on what terms, what it found in the document's own words, and what happened afterwards. Every line is a record; every record links to the document it was read from.

▣ THE RECORD nonprofit Security and red-team vendors STORE 2026-10-23
  • FoundedMay 2023
  • HQTexas
  • Registry idEIN 93-1491311
  • TestsPublic red-teaming events, bias bounties and contextual evaluations sold to clients; DEF CON 31 generative red team (Aug 2023, supported by the White House OSTP); Singapore IMDA regional challenge (2024); open-source red-teaming application (Sep 2026). Its founder's separate company, Humane Intelligence PBC, sells 'audit-grade' evaluation.
  • Money, as the roster puts itNonprofit: FY2024 revenue $472,206, 78.8 percent program-service revenue from clients; Google.org and Heising-Simons Foundation named as funders, no amounts.
  • Filesdossier · observatory, sliced to it · graph
Labs tested
no lab document names it
Models
no model named
Span of engagements
none dated
Terms and findings
0 of 0 documents state a term · 0 quote a finding
Money in, US dollars, stated single-recipient rows
$372,175 3 in · 0 outfrom Google.org · Heising-Simons Foundation
Seats, by side
evaluator 1 4 people: Ben Kinsella, Kristi Arbogast, Mala Kumar, Rumman Chowdhury
Afterwards
no later event on record

Each count is the number of store records that name this evaluator. An engagement is one lab document naming it for one model; an outcome is an event on the record afterwards; the money, seats and moves are the observatory's rows filtered to it. A cell that cannot be filled says not stated, and each table ends with how many of its rows state each field.

▣ SLICE 8 / 8 records
Lab
Funder
Person
year, month or day

Filters combine: any of the values ticked within a dimension, all of the dimensions at once. A table that has no column for a dimension you have set says so instead of showing rows that cannot match. The address bar carries the slice.

What it was engaged to test 0 engagements

In date order, each from the lab document that names the evaluator. Under each: the four terms that document states (access, model stage, publication, payment) and the finding in its words. A term the document is silent on reads not stated; the tags beside the terms are read off their words and are what the console filters on.

No lab document on record names this evaluator for a model.

Dated 0 of 0Model named 0 of 0Terms stated 0 of 0Finding quoted 0 of 0

The terms, as the documents state them

The same engagements as a grid, one row per document and model, so the silences line up: a document that gives an access window but no payment term, or a finding but no publication term, reads that way here.

DocumentModelAccess windowModel stagePublicationPaymentFindingRecord
no engagement on record

Access window 0 of 0Model stage 0 of 0Publication 0 of 0Payment 0 of 0Finding, quoted 0 of 0

What happened afterwards 0 on record

Events a party published after an engagement: an incident on a model this evaluator's engagement covered, a correction or added disclosure, a later finding that cut against an earlier one, a lab's statement that it acted or did not act on the finding, or a move from this evaluator to a lab it graded. A row the source attaches to this evaluator by name is marked named; one that reaches it through the model it tested is marked via the model. The kind is what the record states, not why.

KindDeveloperModelWhat the record statesWhenSourceId
no later event on record

Dated 0 of 0Model named 0 of 0Tied to an engagement 0 of 0Evaluator named by the record 0 of 0

The money on record 3 rows · $372,175 in, stated single-recipient rows

Rows of the observatory's money table that name this evaluator as recipient (in) or as funder (out), each as the record states it: a grant table line, a contract notice, a Form 990 schedule or the party's own disclosure. A figure quoted in prose is marked and never summed.

DirectionFunderRecipientAmount, as recordedWhenRecordSourceId
inGoogle.org; Heising-Simons FoundationHumane Intelligenceno amount publishedBoth named funders on the nonprofit's own pages, no amounts: Google.org for the original bias-bounty program and the open-source red-teaming application ('fully funded', Dec 2025)Dec 2025party's own pageHumane Intelligence, 2025 Impact Report; Humane Intelligence, Bias Bounties at Scale; ProPublica3e31fa497b
inHeising-Simons FoundationHumane Intelligencefigure in prose, not a stated payment$100,000, program-service revenueprogram-service revenuenot datedparty's own pageHumane Intelligence, 2025 Impact Report; Humane Intelligence, Bias Bounties at Scale; ProPublicafb943c87da
inHeising-Simons FoundationHumane Intelligence$372,175$372,175not datedparty's own pageHumane Intelligence, 2025 Impact Report; Humane Intelligence, Bias Bounties at Scale; ProPublica307f6ec1ef

Amount stated 1 of 3Dated 1 of 3Purpose stated 1 of 3Funder profiled 0 of 3Recipient on the roster 3 of 3

Seats and moves 1 seats · 3 moves

Seats read off a team page, a governance page, an appointment notice or a filing that name this organization, and the dated moves into or out of it, from the observatory's own tables.

PersonSideSeat, as the record states itRoleDatesSourceId
Rumman Chowdhuryslice evaluatorco-founder and Distinguished Advisor, Humane Intelligence nonprofit (CEO until 1 August 2025)co-founder and Distinguished Advisorformer– 1 August 2025Rumman Chowdhury, About; Humane Intelligence, About908f4227d7

Role read 1 of 1Organization read 1 of 1Organization profiled 1 of 1Dated 1 of 1

Moves

PersonFromToWhenSourceId
Mala KumarsliceMLCommons (Director of Program Management, AI Safety); GitHub (Director of Tech for Social Good)→Humane Intelligence (Head of Impact Mar 2025; Interim Executive Director 1 Aug 2025; Executive Director Apr 2026)2025 to 2026Humane Intelligence, Team; Humane Intelligence, About21cb4bdf13
Ben KinsellasliceOpenAI (Human Data team)→Humane Intelligence (President of the Board)by 2026Humane Intelligence, Board & Advisory433df3ac99
Kristi ArbogastsliceGraphika (OSINT and content-moderation investigations into generative AI harms); National Democratic Institute→Humane Intelligence (AI Red Teaming Manager); NIST (AI Governance and Risk Analyst)by 2026Humane Intelligence, Teamd241b5cf53

From profiled 3 of 3To profiled 3 of 3Person profiled 1 of 3Dated 3 of 3

Filings