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05/30/2022
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina
Voter suppression and associated racial disparities in access to voting ...
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11/19/2019
Energy Usage Reports: Environmental awareness as part of algorithmic accountability
The carbon footprint of algorithms must be measured and transparently re...
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06/20/2019
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
Motivated by the need to audit complex and black box models, there has b...
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02/09/2019
Assessing the Local Interpretability of Machine Learning Models
The increasing adoption of machine learning tools has led to calls for a...
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01/28/2019
Fairness in representation: quantifying stereotyping as a representational harm
While harms of allocation have been increasingly studied as part of the ...
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02/13/2018
A comparative study of fairness-enhancing interventions in machine learning
Computers are increasingly used to make decisions that have significant ...
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07/31/2017
Interpretable Active Learning
Active learning has long been a topic of study in machine learning. Howe...
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06/29/2017
Runaway Feedback Loops in Predictive Policing
Predictive policing systems are increasingly used to determine how to al...
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09/23/2016
On the (im)possibility of fairness
What does it mean for an algorithm to be fair? Different papers use diff...
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02/23/2016