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Whose Values, Which Contexts, and What Signals? Grounding Cultural Value Alignment with Re3Culture — arXiv:2610.41793

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.41793
License (as archived): CC0-1.0
Archived: 2026-11-03T07:11:39.960Z
SHA-256 of the archived text: d9abd6cd04bda377014379c645d327f4369b65e705ad3203e8c570a6943a2c22
Stable URL of this page: https://metraipolis.com/documento/dc_93cfca89ff26

How to cite

Whose Values, Which Contexts, and What Signals? Grounding Cultural Value Alignment with Re3Culture — arXiv:2610.41793 — arXiv (en), https://arxiv.org/abs/2610.41793 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_93cfca89ff26 (Metraipolis archive dc_93cfca89ff26, sha256 d9abd6cd04bda377014379c645d327f4369b65e705ad3203e8c570a6943a2c22)

BibTeX

@misc{dc93cfca89ff26,
  title = {Whose Values, Which Contexts, and What Signals? Grounding Cultural Value Alignment with Re3Culture — arXiv:2610.41793},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.41793},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_93cfca89ff26; sha256 d9abd6cd04bda377014379c645d327f4369b65e705ad3203e8c570a6943a2c22},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.41793. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Cultural value alignment requires not only model optimization but also a well-specified target grounded in real-human evidence. Yet how such targets should be grounded in human data remains largely unexplored, raising three fundamental questions: (1) whose values should be represented? (2) where should cultural values be observed? and (3) what signals reveal underlying values? We investigate these questions through Re3Culture, a large-scale dataset linking (i) Representative communities: 700+ human participants across four cultures recruited through cultural-affiliation screening and demographic-aware sampling; (ii) Realistic scenario: culturally sensitive scenarios selected by community members, e.g., family and kinship; and (iii) Revealed value signals: 1,400+ value surveys, 20,000+ topic-grounded behavioral principles and explicit value priorities with responses for 6,000+ situated questions. Our analysis shows why these choices matter for defining the target, with three implications. First, estimating cultural values requires both community affiliation and broad internal coverage. Substituting other cultures or restricting subgroup coverage shifts value estimates. LLM simulations also disproportionately reflect particular subgroups. Second, values must be observed in concrete, community-guided situations. Abstract questionnaire profiles weakly recover situated priorities, and communities differ in which scenarios they identify as culturally value-revealing. Third, value priorities should be elicited explicitly, not learned from response preferences or bottom-line answers alone. Preferences conflate value agreement with other response-level qualities, and similar answers can be derived from different value priorities. By addressing these requirements, Re3Culture provides the first human-grounded resource that explicitly informs target definition for cultural value alignment.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2610.41793 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T07:09:31.790Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).