PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
arXiv 2603.22714•c19f2892a2a0bc11a6933e8b4996285446602525fe0c9d95de2afd1609f8c57e
adaptive-mlaegisai-agentsai-fairnessai-regulationalgorithmic-accountabilitycausal-inferencecompanion-aicounterfactual-interrogationdatasetelectoral-biasethicseu-ai-actevidentiary-rightsfilmmakinggenerative-aigovernancehuman-ai-interactionllmllm-biasmedical-aipost-market-surveillanceresume-screeningsearch-engine-biasvlm
Paper metadata
- arXiv ID
- 2603.22714
- 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
- c19f2892a2a0bc11a6933e8b4996285446602525fe0c9d95de2afd1609f8c57e
- Enrichment time
- 2026-03-25T07:23:49Z
- AI-assisted enrichment
- Yes
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