Measuring Epistemic Unfairness for Algorithmic Decision-Making
arXiv 2604.22675•10e854c4a9c780b998c734647514e3c1ae37c8cfef15f749e326896c68b5dbd1
algorithmic fairnessarXivauditingepistemic harmsepistemic unfairnessfairness metricsopinion dynamicspolicy evaluationrecommender systemssimulation
Paper metadata
- arXiv ID
- 2604.22675
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 10e854c4a9c780b998c734647514e3c1ae37c8cfef15f749e326896c68b5dbd1
- Enrichment time
- 2026-04-27T08:52:17Z
- AI-assisted enrichment
- Yes
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