Pith Number

pith:LZ6GFYZF

pith:2026:LZ6GFYZF5H5W2CTWHD4UPKU2YA

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Voices in the Loop: Mapping Participatory AI

Rashid Mushkani

The paper builds a living atlas of participatory AI initiatives that maps their global distribution, typical participation stages, and a governance system for making community input the default in AI systems.

arxiv:2605.16827 v1 · 2026-05-16 · cs.AI

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Claims

C1strongest claim

We contribute three elements. First, we specify a reproducible protocol for discovery, vetting, harmonization, geocoding, provenance tracking, and release-based publication of participatory AI records. Second, we report corpus-level patterns in geography, participation tiers, lifecycle loci, organizational form, verification status, and remaining documentation gaps. Third, we show how the atlas operationalizes a design and governance framework for participatory-by-default AI infrastructures through versioned releases, record-linked issue and annotation channels, schema feedback workflows, and redaction or restricted-disclosure requests.

C2weakest assumption

The harmonized records from Magaña and Shilton's Trustworthy AI corpus plus additional audited cases provide a sufficiently complete and unbiased sample of participatory AI initiatives worldwide, with documentation gaps that do not systematically distort the reported geographic and participation patterns.

C3one line summary

Authors build a harmonized, geolocated atlas of participatory AI projects from existing and new sources, documenting geographic concentration and participation mostly at problem formulation and evaluation stages while providing update and governance mechanisms.

References

47 extracted · 47 resolved · 0 Pith anchors

[1] Sherry R. Arnstein. 1969. A Ladder of Citizen Participation.Journal of the American Institute of Planners35, 4 (1969), 216–224. doi:10.1080/01944366908977225 1969 · doi:10.1080/01944366908977225

[2] Bender and Batya Friedman 2018 · doi:10.1162/tacl_a_00041

[3] Aleks Berditchevskaia, Eirini Malliaraki, and Kathy Peach. 2021. Participatory AI for Humanitarian Innovation. Nesta Briefing Paper. https://media.nesta.org.uk/documents/Nesta_Participatory_AI_for_hum 2021

[4] In Equity and Access in Algorithms, Mechanisms, and Optimization 2022 · doi:10.1145/3551624.3555290

[5] Cooper, Janis Dickinson, Steve Kelling, Tina Phillips, Kenneth V 2009 · doi:10.1525/bio

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Receipt and verification

First computed	2026-05-20T00:03:24.738867Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5e7c62e325e9fb6d0a7638f947aa9ac02b630c03dfce442190b12e5eff1f05db

Aliases

arxiv: 2605.16827 · arxiv_version: 2605.16827v1 · doi: 10.48550/arxiv.2605.16827 · pith_short_12: LZ6GFYZF5H5W · pith_short_16: LZ6GFYZF5H5W2CTW · pith_short_8: LZ6GFYZF

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZ6GFYZF5H5W2CTWHD4UPKU2YA \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5e7c62e325e9fb6d0a7638f947aa9ac02b630c03dfce442190b12e5eff1f05db

Canonical record JSON

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