Machine learning (ML) methods are proliferating in scientific research. However, the
adoption of these methods has been accompanied by failures of validity, reproducibility, and …

" Does generative AI infringe copyright?" is an urgent question. It is also a difficult question,
for two reasons. First," generative AI" is not just one product from one company. It is a catch …

Abstract Machine learning tasks may admit multiple competing models that achieve similar
performance yet produce conflicting outputs for individual samples---a phenomenon known …

Prediction models have been widely adopted as the basis for decision-making in domains
as diverse as employment, education, lending, and health. Yet, few real world problems …

This report presents the takeaways of the inaugural Workshop on Generative AI and Law
(GenLaw), held in July 2023. A cross-disciplinary group of practitioners and scholars from …

The Less Discriminatory Alternative is a key provision of the disparate impact doctrine in the
United States. In fair lending, this provision mandates that lenders must adopt models that …

Abstract Machine learning based decision-support tools in criminal justice systems are
subjects of intense discussions and academic research. There are important open questions …

Online platforms mediate access to opportunity: relevance-based rankings create and
constrain options by allocating exposure to job openings and job candidates in hiring …

The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace,
making it difficult for novel researchers and practitioners to have a bird's-eye view picture of …

A vast number of systems across the world use algorithmic decision making (ADM) to
(partially) automate decisions that have previously been made by humans. The downstream …