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Kristian Lum

STAR: SocioTechnical Approach to Red Teaming Language Models

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Jun 17, 2024
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The Impossibility of Fair LLMs

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May 28, 2024
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Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation

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Feb 20, 2024
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Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems

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Sep 12, 2022
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Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina

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May 30, 2022
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De-biasing "bias" measurement

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May 11, 2022
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Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics

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Feb 03, 2022
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A statistical framework for fair predictive algorithms

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Oct 25, 2016
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