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ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
A research study audited six LLMs across 2,820 hiring scenarios, finding intersectional bias against disabled candidates in non-Western contexts.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 12 October 2026
- Collected by OneBench
- 13 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2510.10998v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly under scrutiny for perpetuating identity-based discrimination in high-stakes domains such as hiring, particularly against…
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