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Mozilla Technology Fund — AI Auditing Tools

Closed

Mozilla Foundation

AI-auditing theme was the 2023 cohort; no open AI-auditing call

Amount
$50,000
Deadline
Oct 4, 2026
89d left
Stage
Availability
Link
Open opportunity ↗

Description

The Mozilla Technology Fund (MTF) supports projects that provide tools and resources to auditors working to create greater accountability for AI systems. Winners contribute to the Open Source Audit Tooling (OAT) Initiative (led by Mozilla Fellow Deb Raji). Mozilla defines 'audit tools' broadly: benchmarks/datasets, analysis tools, crowdsourcing tools, documentation templates, and frameworks. Applications typically open in a September–October window each cycle; all outputs must be open source.

algorithmic accountabilityAI auditingopen sourceAI transparency

Timeline & constraints

Expected to hear back
Two-stage (LOI → invited full application via Fluxx). Mozilla typically communicates decisions within ~1–2 months of the deadline — e.g. an early-October close tends to yield November notifications and contracting.
Grant period
12-month cohort — monthly virtual convenings plus at least one in-person gathering (MozFest).

Key dates

  1. Applications typically open
    Sep 5, 2026 · in 60d
  2. Deadline (typical annual window)
    Oct 4, 2026 · in 89d
  3. Decisions communicated (est.)
    Nov 29, 2026 · in 145d
  4. 12-month cohort begins
    TBD

Constraints & requirements

  • All code must be released open source; content under Creative Commons
  • Award up to $50,000 (annual pool $300K–$500K)
  • Deliverable must be an AI audit tool aligned with the Open Source Audit Tooling (OAT) Initiative
  • Applicants generally need a working prototype and a team ready to execute over 12 months
  • Cohort participation required (monthly calls + MozFest convening)

Who's funding this

The coalition behind the opportunity. Tick the backers that are the best fit for ETC to prioritize.

  • No backers captured yet — add one below, or run a web import.
  • Mehan Jayasuriya
    Senior Program Officer, Mozilla Technology Fund
    no profile
  • Deborah Raji
    Mozilla Fellow — Open Source Audit Tooling (OAT) lead
    no profile
  • Abeba Birhane
    AI accountability researcher, Mozilla
    no profile

AI valuation

Scored against the ETC mission profile.

Fit score
49/100
Recommendation
consider
Win probability
15%
Expected value
$7,500
$50,000 × win prob.

This Mozilla fund targets open-source AI-auditing tools for algorithmic accountability—adjacent to ETC's AI-safety and trust-infrastructure interests but off its humanitarian intervention core, and against a specialized applicant pool ETC would not naturally lead. The $50K and light application make it low-cost to attempt, but only pursue if ETC can credibly frame an audit tool for a human-rights use case (e.g., supply-chain traceability or forced-labor detection); otherwise pass and reserve bandwidth for higher-alignment opportunities.

Criteria breakdown

Mission alignment40/100 · weight 30%

AI auditing/transparency touches ETC's AI-safety and trust-infrastructure interests, but algorithmic-accountability audit tooling is not one of ETC's current projects or core humanitarian focus areas (migration, forced labor, disaster, cultural heritage). Alignment is tangential unless ETC deliberately frames an audit tool for a human-rights use case.

Funding fit65/100 · weight 20%

$50K is modest but usable for prototyping and researcher time, and Mozilla's broad definition of 'audit tools' (datasets, frameworks, analysis tools) fits ETC's applied-build model. The open-source output requirement is compatible but constrains commercialization/partner deployment.

Competitiveness35/100 · weight 20%

The MTF/OAT applicant pool is dominated by specialized AI-accountability and open-source audit-tooling teams; ETC is not primarily an AI-auditing shop and would compete against purpose-built projects. NYU/Microsoft backing helps credibility but does not offset the topical mismatch.

Effort / feasibility65/100 · weight 15%

Mozilla Technology Fund applications are relatively lightweight compared to federal or large foundation grants, and reporting is manageable, so the bandwidth cost is moderate.

Strategic value45/100 · weight 15%

Winning would connect ETC to Mozilla's accountability network and Deb Raji's OAT initiative, building AI-transparency credibility—valuable but adjacent to ETC's core human-rights intervention portfolio and unlikely to directly extend current projects.

0/100 · weight 0%

Red flags

  • Core topic (AI auditing tools for algorithmic accountability) sits outside ETC's humanitarian intervention wheelhouse—fit requires reframing a project around a human-rights audit use case.
  • Mandatory open-source output may conflict with partner/agency deployment models ETC often uses.
  • Small award ($50K) relative to the strategic effort of entering a competitive, specialized applicant field.
  • Only worth pursuing if ETC has a concrete audit-tool concept tied to migration, forced labor, or traceability ready to propose.

Scored Jul 1, 2026 · claude-opus-4-8

Proposal recommendation

An AI starting draft tailored to this funder's criteria.

No draft yet. Click Draft with AIfor a tailored project title, core pitch, the key aspects to lead with, a suggested outline, and the gaps to shore up. Add the funder's review criteria for a sharper draft.

Recommendations & tips

A grantseeking playbook tailored to this funder — how to position, what to write, and what to do next.

Strategy

This is a reach grant: Mozilla's MTF funds narrowly-scoped, open-source AI audit tools that plug into Deb Raji's OAT Initiative, and ETC's humanitarian intervention model only fits if you reframe an existing project as a concrete auditing tool for a human-rights use case. Your one credible entry point is the Traceability project (verifiable ethical claims in supply chains) recast as an open-source tool that lets auditors detect forced-labor or greenwashing in algorithmic/supply-chain claims — do NOT propose a broad platform. Only pursue if you can commit to a working prototype, a 12-month cohort obligation (monthly calls + MozFest), and fully open-source/CC release; if partner deployment models require closed code, walk away now rather than burn writing bandwidth on a $50K long shot.

Tips, most important first

  • highPositioningReframe Traceability as an auditor-facing tool, not a supply-chain platform

    MTF funds tools FOR auditors creating accountability, not intervention systems. Recast your supply-chain traceability work as a benchmark/dataset or analysis tool that lets labor-rights auditors verify or falsify a company's ethical-sourcing claims — a concrete, reusable audit artifact in the spirit of the 2023 'observatory' and pricing-inspection tools.

  • highPitfall to avoidResolve the open-source conflict before you write a word

    Every line of code must ship open source and content under Creative Commons — this collides with the closed partner/agency deployment models ETC often uses. Confirm with your intended partner (and Microsoft Research collaborators) that the specific audit tool can be fully OSS, or the proposal is dead on arrival.

  • highFunder researchAnchor explicitly to the OAT Initiative and its people

    Winners must contribute to the Open Source Audit Tooling Initiative led by Deb Raji (with Birhane, Vecchione, Steed, Ojewale). Read OAT's published standards and name how your tool plugs into them — reviewers reward interoperability with the existing community, not a standalone artifact.

  • highPositioningMatch the $50K scope: one shippable tool, not a research agenda

    The 2022–2023 cohorts funded tightly-scoped, shippable tools (crowdsourced voice-assistant bias measurement, a content-promotion observatory). Scope your deliverable to something a small team can build and release in 12 months, and lead with the specific accountability decision it enables for a named auditor type.

  • highProposal craftLead with a working prototype, not a concept

    MTF applicants 'generally need a working prototype.' Show a demonstrable slice of your traceability tooling now and evidence your interdisciplinary team (policy + technical prototyping, CGA + Microsoft Research) can execute over 12 months — this is where ETC's applied-prototyping strength is your real differentiator over pure-tech applicants.

  • mediumRelationshipUse the pre-deadline window to test fit with Mozilla/OAT

    Applications open ~Sept 6 for an Oct 5 close. Before then, engage the OAT community (public channels, MozFest presence, Deb Raji's published work) to sanity-check whether a forced-labor/traceability audit tool is welcome — this de-risks a low-probability bet and signals you're a genuine community contributor.

  • mediumProcess & logisticsPlan for the two-stage Fluxx flow and cohort commitment

    This is LOI → invited full application via Fluxx, with monthly virtual convenings and mandatory MozFest attendance. Confirm a named team member can carry the cohort obligations for a full year before committing, and map backward from the Oct 5 LOI so the invited full app isn't rushed.

  • mediumBudgetFrame the $50K around researcher/build time, honestly

    The award is small and NYU overhead could swallow it — structure the budget toward developer/researcher time to build and release the open tool, and confirm ETC's constraint of funding staff time over pure overhead can be honored within Mozilla's allowable costs.

  • mediumPitfall to avoidBe willing to defer if no concrete tool concept is ready

    With fit at 49/100 and win probability ~15%, this is only worth it if a specific migration/forced-labor/traceability audit-tool concept is already crystallized. If it isn't by early September, skip this cycle — MTF runs annually, so a stronger prototype next year beats a thin one now.

Next actions

  1. 1Convene the Traceability team to decide if a single, OSS-releasable auditor-facing tool (e.g. a forced-labor claims-verification benchmark or analysis tool) can be defined and prototyped — go/no-go on pursuing this cycle.
  2. 2Get written confirmation from the relevant partner/agency and Microsoft Research that the specific tool can be fully open source under CC before drafting.
  3. 3Read the OAT Initiative's published standards and 2022–2023 MTF winners in detail, and draft one paragraph on how ETC's tool interoperates with OAT.
  4. 4Engage the OAT/Mozilla community informally (or via MozFest channels) to test-fit the forced-labor/traceability audit concept before the September opening.
  5. 5Assemble prototype evidence and name the team member who will own the 12-month cohort commitment, then map an internal timeline backward from the Oct 5 LOI.
  6. 6Draft a tight, single-tool LOI scoped to the $50K/12-month envelope, with a budget weighted toward build/research time.

Generated Jul 1, 2026 · claude-opus-4-8 · tailored guidance, not a guarantee

Funded projects to learn from

Real projects this funder backed — reference points to model and adapt an ETC proposal on.

  • Mozilla-led community (Deb Raji, Abeba Birhane, Briana Vecchione, Ryan Steed, Victor Ojewale) building shared standards and tooling for auditing AI systems.

    For ETC: The community your MTF deliverable must plug into — align any ETC audit tool with OAT standards.

  • MTF 2023 cohort — AI audit tooling
    $50,000 · 2023

    Open-source auditing tools, e.g. a crowdsourcing tool to externally inspect a platform's pricing/recommendation model, and an 'observatory' letting journalists see what content is promoted or suppressed.

    For ETC: Model an ETC proposal on one concrete, reusable audit tool — not a broad platform.

  • MTF 2022 inaugural cohort
    $50,000 · 2022

    Bias/transparency projects across South Africa, Japan, and the Netherlands — crowdsourcing tools measuring unfair voice-assistant outcomes and exposing social-media recommendation engines.

    For ETC: Shows the scope MTF funds at $50K — a focused, shippable tool with a clear accountability use.

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