pith:7PEN3JAE
Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics
Communities define what counts as culturally appropriate in AI-generated images of their artifacts before automation begins.
arxiv:2604.02406 v2 · 2026-04-02 · cs.CY
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\usepackage{pith}
\pithnumber{7PEN3JAELO2OFMGF4RCO5WUYKR}
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Claims
Our systematized concepts reflect community members' lived experiences interacting with each artifact and how they want their material culture to be depicted, demonstrating the value of community involvement in defining valid measures.
That community-defined concepts of cultural appropriateness can be operationalized into automated LLM-as-a-judge instruments without substantial loss of the original expertise and perspectives.
Community members from the UK blind community, Kerala, and Tamil Nadu helped define what counts as culturally appropriate depictions of artifacts, and the authors tested whether those definitions can be turned into repeatable LLM-as-a-judge measurements.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:02:11.120559Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fbc8dda4045bb4e2b0c5e444eeda985479a9df4bb46a54d3b343599743236494
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7PEN3JAELO2OFMGF4RCO5WUYKR \
| 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: fbc8dda4045bb4e2b0c5e444eeda985479a9df4bb46a54d3b343599743236494
Canonical record JSON
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