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Author

Kyra Wilson

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#artificial intelligence Open access Feb 2026

CIRCLE: A Framework for Evaluating AI from a Real-World Lens

CIRCLE operationalizes the Validation phase of TEVV by translating priorities of stakeholders outside the stack into measurable signals, and produces systematic knowledge that can enable governance based on materialized downstream effects rather than theoretical capabilities.

Reva Schwartz, Carina E. I. Westling, Morgan Briggs et al. · 1 citation · ⚡1
#artificial intelligence Review Aug 2026

Applications of Risk Science to AI Fairness Evaluation: Principles, Challenges, and Best Practices

A literature review of scholarly works purporting to evaluate the bias or fairness of technological systems used for tasks related to hiring and employment finds that most characterize the severity of bias- or fairness-related consequences but do not follow best practices to characterize the uncertainty around either t...

Kyra Wilson, Sa Kang, Saloni Dash et al. · 0 citations
#artificial intelligence Open access Jul 2024

Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval

This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.

Kyra Wilson, Aylin Caliskan · 131 citations · ⚡8

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