Automatically assigning tasks to people is challenging because human
per...
When using medical images for diagnosis, either by clinicians or artific...
As machine learning (ML) systems become increasingly widespread, it is
n...
Predictive models are increasingly used to make various consequential
de...
We show that deep neural networks that satisfy demographic parity do so
...
Data-driven methods that detect anomalies in times series data are ubiqu...
Much of machine learning research focuses on predictive accuracy: given ...
In hybrid human-machine deferral frameworks, a classifier can defer unce...
The large size and complex decision mechanisms of state-of-the-art text
...
With the increasing adoption of machine learning (ML) models and systems...
Understanding the predictions made by machine learning (ML) models and t...
We study the problem of training a model that must obey demographic fair...
With the ever-increasing complexity of neural language models, practitio...
The interaction patterns of employees in social and professional network...
We initiate the study of fairness for ordinal regression, or ordinal
cla...
We propose, implement, and evaluate a new algorithm for releasing answer...
Machine learning models are often implemented in cohort with humans in t...
We typically compute aggregate statistics on held-out test data to asses...
Tuning complex machine learning systems is challenging. Machine learning...
We consider a recently introduced framework in which fairness is measure...
Many internet applications are powered by machine learned models, which ...
Decision making in crucial applications such as lending, hiring, and col...
Machine learning models are central to people's lives and impact society...
Given the increasing importance of machine learning (ML) in our lives,
a...
Recently, policymakers, regulators, and advocates have raised awareness ...
There is a growing body of work that proposes methods for mitigating bia...
We present a large-scale study of gender bias in occupation classificati...
Preserving privacy of users is a key requirement of web-scale analytics ...
LinkedIn Talent Solutions business contributes to around 65
annual reven...
Talent search and recommendation systems at LinkedIn strive to match the...
The recently launched LinkedIn Salary product has been designed with the...