Search Results for author: Jessie J. Smith

Found 2 papers, 1 papers with code

REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research

1 code implementation • 5 May 2022 • Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, Jennifer Wortman Vaughan

Transparency around limitations can improve the scientific rigor of research, help ensure appropriate interpretation of research findings, and make research claims more credible.

BIG-bench Machine Learning

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Fairness and Transparency in Recommendation: The Users' Perspective

no code implementations • 16 Mar 2021 • Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler

Even though the previous work in other branches of AI has explored the use of explanations as a tool to increase fairness, this work has not been focused on recommendation.

Fairness Recommendation Systems

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