Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets

2026-05-06T07:23:53Z7331e310254107dd5a4757f833cf7c3cc65a1f0ac4b1e72f203bb12864999583
AI governanceGraph Neural NetworksLLM biasMoral Sensitivity Indexaddictionbystander interventioncivic addressingcyberbullyingdata annotationdeskillingenergy markets (CBAM)expert labourfairnessgame theorygeolocationgig economyhermeneutical fairnesshuman-provenancelabor infrastructuremechanistic interpretabilitymental healthmulti-agent systemsonline advertisingparticipatory data governancesocial simulation

What happened

This collection of recent arXiv papers (CS/CY) centers on socio-technical impacts and evaluations of generative AI and related systems. Key themes: treating human-provenance verification as labor infrastructure and the emergence of "performative humanity" premiums; the rise of an expert-annotation gig economy and the commodification of expertise; extending fairness in ad delivery to include hermeneutical/interpretive harms; neglected cognitive risks from GenAI (deskilling, addiction); participatory governance for civic addressing using actionable geolocations (Puerto Rico case); a tiered Moral

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cy
Record identifier
7331e310254107dd5a4757f833cf7c3cc65a1f0ac4b1e72f203bb12864999583
Enrichment time
2026-05-06T07:23:53Z
AI-assisted enrichment
Yes

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