Learning Fair Demand Models
arXiv 2606.06830•38bc27247683f7a1e4ddf24f299f23cb6ec564d61db6fb089515b40c5f4c8784
AI governanceAI sovereigntyHKJudge datasetLLM biasRLHFRawlsian fairnessSopriBenchalgorithmic fairnessdataset releasedemand estimationfair housinggenerative modelshuman temporal learninglegal NLPmultimodal privacypreference pluralitypricing modelsprivacy exposure scoreracial steeringstrategic competitionvalue collapse
Paper metadata
- arXiv ID
- 2606.06830
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 38bc27247683f7a1e4ddf24f299f23cb6ec564d61db6fb089515b40c5f4c8784
- Enrichment time
- 2026-06-08T07:23:51Z
- AI-assisted enrichment
- Yes
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