In this paper, we consider the statistical foundations for empirical tests of disparate impact. We begin by considering a recent, popular…
Importance: Marked elevation in levels of depressive symptoms compared with historical norms have been described during the COVID-19…
An enormous body of academic and journalistic work argues that opaque recommendation algorithms contribute to political polarization by…
In almost every state, courts can jail those who fail to pay fines, fees, and other court debts—even those resulting from traffic or other…
Depression can affect individuals’ attitudes by enhancing cognitive biases and altering perceptions of control. We investigate the…
In studies of discrimination, one popular strategy is to estimate disparities after adjusting for observed covariates, typically with a…
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal,…
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal…
Background
We aimed to characterize the prevalence of social disconnection and thoughts of suicide among older adults in the United States…
There is widespread concern that academic freedom is threatened by growing demands for intellectual conformity and attempted censorship…