activity
20212025
most citedFairCanary: Rapid Continuous Explainable Fairness

17 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025★ 1 cited

"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services

Shira Michel, Sufi Kaur, Sarah Elizabeth Gillespie +3

Recent advances in artificial intelligence (AI) speech generation and voice cloning technologies have produced naturalistic speech and accurate voice replication, yet their influen…

cs.SI2024

Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study

Avijit Ghosh, Tomo Lazovich, Kristian Lum +1

Many existing fairness metrics measure group-wise demographic disparities in system behavior or model performance. Calculating these metrics requires access to demographic informat…

cs.LG2023★ 4 cited

When Fair Classification Meets Noisy Protected Attributes

Avijit Ghosh, Pablo Kvitca, Christo Wilson

The operationalization of algorithmic fairness comes with several practical challenges, not the least of which is the availability or reliability of protected attributes in dataset…

cs.LG2022★ 11 cited

Subverting Fair Image Search with Generative Adversarial Perturbations

Avijit Ghosh, Matthew Jagielski, Christo Wilson

In this work we explore the intersection fairness and robustness in the context of ranking: when a ranking model has been calibrated to achieve some definition of fairness, is it p…

cs.LG2021★ 17 cited

FairCanary: Rapid Continuous Explainable Fairness

Avijit Ghosh, Aalok Shanbhag, Christo Wilson

Systems that offer continuous model monitoring have emerged in response to (1) well-documented failures of deployed Machine Learning (ML) and Artificial Intelligence (AI) models an…