Systemic Altruism
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Justice & public goodsPreliminary editorial review

AlgorithmWatch

The German nonprofit company investigates automated decision systems, explains their effects and supports accountability frameworks. Shared research and public-interest capacity are the assessed mechanism, not a blanket certification that algorithms become fair.

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Systemic Altruism practice potential: 73–83/100
90% of weighted axes reviewed. A mechanism hypothesis, not proven effectiveness or a donation recommendation.

Who this work enables

Tools & support for charities: Shared investigations, methods and policy knowledge can help civil-society organizations scrutinize automated decisions without each rebuilding all specialist expertise.

Humanity’s Checklist source match

Attention · Gatekeepers — editorial, partial alignment.

Scrutiny of automated information and decision systems can partially address attention incentives and institutional gatekeeping. This does not establish that every project changes feeds, power or decision outcomes.

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

Create shared evidence and policy capacity for accountability of automated decisions

Six dimensions, with rationale

Structural depth

4 / 4

Evidence and institutional accountability frameworks target how automated decisions are governed rather than only helping individuals navigate a system.

Institutional reach

3 / 4

Shared investigations and policy resources can enable multiple organizations and decision settings, while jurisdiction and access constrain reach.

Durability

2 / 4

Research and institutional knowledge can persist, but changing models, laws and deployment contexts require continued scrutiny.

Scalability

3 / 4

Shared findings and methods can be reused, while investigations, data access and legitimate policy implementation require specialist local work.

Funding additionality

Unreviewed

No current marginal funding bottleneck or counterfactual contribution relative to other algorithm-accountability organizations was audited.

Community agency

Unreviewed

Public-interest research, partner participation and accountability language do not establish binding rights for people subject to automated decisions.

Evidence and selection

Organization reported; current primary mechanism sources inspected

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

A testable next question

Do comparable public-interest groups using AlgorithmWatch evidence and methods secure durable, contestable improvements in automated decision governance beyond existing advocacy, without increasing exposure of affected people’s data?

Review confidence: Moderate for documented design; low for systemic attribution. The German nonprofit AW AlgorithmWatch gGmbH’s research, public explanation and accountability-capacity model; not the Swiss organization or every partner project.

What remains uncertain

The legal notice identifies AW AlgorithmWatch gGmbH, Berlin register HRB 186522 B; this scope is distinct from AlgorithmWatch CH. The generic /en/about/ route redirects to a specific work-project page, not a full legal-entity profile. Website content licensing is not a named software-license inspection, so no open-source badge is assigned. Investigations and policy proposals do not establish causal fairness improvements, and sensitive-data access, representation and enforcement require separate review.

Sources to inspect

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