The advent of large language models (LLMs) and their adoption by the leg...
There is debate over whether Asian American students are admitted to
sel...
Millions of Americans must attend mandatory court dates every year. To b...
There is active debate over whether to consider patient race and ethnici...
In designing risk assessment algorithms, many scholars promote a "kitche...
Algorithmically optimizing the provision of limited resources is commonp...
Predictive algorithms are now used to help distribute a large share of o...
Recent work highlights the role of causality in designing equitable
deci...
In domains ranging from computer vision to natural language processing,
...
In the dominant paradigm for designing equitable machine learning system...
In settings ranging from weather forecasts to political prognostications...
The use of video surveillance in public spaces – both by government agen...
A potential voter must incur a number of costs in order to successfully ...
In studies of discrimination, researchers often seek to estimate a causa...
Public and private institutions must often allocate scare resources unde...
Policymakers often seek to gauge discrimination against groups defined b...
In one broad class of supervised machine learning problems, researchers ...
On a variety of complex decision-making tasks, from doctors prescribing
...
Threshold tests have recently been proposed as a robust method for detec...
From doctors diagnosing patients to judges setting bail, experts often b...