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Pith Number

pith:HJFXGWJT

pith:2026:HJFXGWJTFENV5K4MFZ2F33QKUQ
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How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI

Erik B. Dam, Janin Koch, Mophat Okinyi, Raghavendra Selvan, Sebastian Mair, Sophia N. Wilson

Hyper-datafication in frontier AI redistributes environmental burdens, labor risks, and representational harms toward the Global South and precarious workers.

arxiv:2602.00056 v4 · 2026-01-20 · cs.CY · cs.AI

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our analyses reveal that hyper-datafication does not merely increase resource consumption but systematically redistributes environmental burdens, labour risks, and representational harms toward the Global South, precarious data workers, and under-represented cultures.

C2weakest assumption

That the sample of approximately 550,000 Hugging Face Hub datasets combined with qualitative responses from data workers in Kenya sufficiently represents the global data practices and impacts of frontier AI models.

C3one line summary

Hyper-datafication in frontier AI increases resource consumption and redistributes environmental burdens, labor risks, and representational harms toward the Global South, data workers, and under-represented cultures, based on analysis of 550,000 Hugging Face datasets and Kenyan worker responses.

Formal links

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Receipt and verification
First computed 2026-06-09T02:07:18.797464Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3a4b735933291b5eab8c2e745dee0aa424cb2c65a295f95e2ba43422800b0b6a

Aliases

arxiv: 2602.00056 · arxiv_version: 2602.00056v4 · doi: 10.48550/arxiv.2602.00056 · pith_short_12: HJFXGWJTFENV · pith_short_16: HJFXGWJTFENV5K4M · pith_short_8: HJFXGWJT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJFXGWJTFENV5K4MFZ2F33QKUQ \
  | 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: 3a4b735933291b5eab8c2e745dee0aa424cb2c65a295f95e2ba43422800b0b6a
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-01-20T00:54:37Z",
    "title_canon_sha256": "c3d8d7fb91b710b8fcbeff3670f4e0a684102c5de433390c3d2b9a2e3fc318b3"
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