Systemic Altruism
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Justice & public goodsPreliminary editorial review

OpenMined Foundation

The US nonprofit foundation develops tools for using non-public information without simply centralizing raw datasets. PySyft is the named example; technical privacy goals are not treated as a guarantee of safe data use.

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Systemic Altruism practice potential: 74–84/100
90% of weighted axes reviewed. A mechanism hypothesis, not proven effectiveness or a donation recommendation.

Who this work enables

Tools & support for charities: Reusable cross-organizational analysis tools can help nonprofit researchers and evaluators collaborate without rebuilding every data-access workflow.

Open-source evidence · license checked

  • PySyft — Apache-2.0 license file. Organization’s role: maintainer.
    Inspected the repository license and current README, including the successor/legacy API distinction. Code licensing is separate from data/model rights, dependencies, authorization, cloud-service terms, threat models and privacy or security assurance. License-file snapshot: 6fae2429ecfe51cd6a4fdb90f7cf24abd0ee770d.

License checked 2026-10-27. This is not a security audit, proof of current support or effectiveness, or a promise of free hosting. A sponsor or steward is not necessarily the sole developer. Unchecked profiles are not evidence of closed code. No extra score points are added.

Humanity’s Checklist source match

Coordination · Gatekeepers — editorial, partial alignment.

Shared computation tools can address coordination and data-access gatekeeping. This partial connection does not establish legitimate permission, privacy guarantees or affected-community governance.

Explicit checklist adoption: not verified. A mechanism match is not an affiliation, endorsement, evidence of effectiveness or a scoring bonus. Read the practice.

Focus classification: 2026-10-27. Based on the organization’s dated official sources below; earlier axis-review dates are unchanged.

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The proposed pathway

Build reusable infrastructure for analysis across organizational data boundaries

Six dimensions, with rationale

Structural depth

3 / 4

Shared computation infrastructure can change organizational data-access barriers rather than repeatedly transfer sensitive data to a central provider.

Institutional reach

4 / 4

Cross-organizational analysis tools can enable research, public-interest evaluation and other applications across sectors.

Durability

2 / 4

Reusable code and methods can persist, but privacy threats, interfaces, dependencies and operational governance keep changing.

Scalability

4 / 4

Common tools can be reused across collaborations, while threat modeling, authorization and data stewardship require substantial local work.

Funding additionality

Unreviewed

No current marginal funding bottleneck or counterfactual contribution relative to other privacy-preserving research infrastructure was audited.

Community agency

Unreviewed

Data-holder configuration and contributor participation do not establish binding rights for the people represented in datasets or affected by analyses.

Evidence and selection

Organization reported; current primary mechanism sources inspected; named repository and license file checked

Illustrative inclusion to examine this mechanism. Inclusion is not an external recommendation or a verified comparative ranking.

A testable next question

Do public-interest collaborations using supported OpenMined infrastructure obtain useful, independently checkable results beyond existing data-sharing arrangements while preserving meaningful data-subject protections and reducing exposure under realistic threat models?

Review confidence: Moderate for documented design; low for systemic attribution. OpenMined Foundation’s nonprofit software-infrastructure model, with the current PySyft repository as a named example; not a guarantee about every client, data holder, model or network deployment.

What remains uncertain

The foundation and October 2026 privacy pages identify OpenMined Foundation as a US 501(c)(3); the website privacy policy is not a certification of every software deployment. The current PySyft README distinguishes version 0.10+ from legacy APIs and describes additional services and authorization requirements. Apache-2.0 for the inspected repository does not settle data rights, model rights, dependencies or hosted-service conditions. No privacy, cryptographic, legal or AI-safety audit was performed; approved queries can still cause harmful inferences.

Sources to inspect

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Axis review: 2026-10-27 · weighting method v0.2 (2026-10-26) · Method, conflicts and coverage