Artificial intelligence (AI) and machine learning (ML) algorithms are widely used throughout
our economy in making decisions that have far-reaching impacts on employment, education …

Artificial intelligence and machine learning (ML) algorithms are widely used throughout our
economy in making decisions that have far-reaching impacts on employment, education …

Recently, significant advances in artificial intelligence (AI) have surpassed what was
imaginable even five years ago. Today, we can instruct diffusion-based models to generate …

Often, what is termed algorithmic bias in machine learning will be due to historic bias in the
training data. But sometimes the bias may be introduced (or at least exacerbated) by the …

Much as replacing hand-designed features with learned functions has revolutionized how
we solve perceptual tasks, we believe learned algorithms will transform how we train …

Typically, applied AI use cases are limited to employing off-the-shelf machine learning
models, and they range anywhere from healthcare and finance to autonomous systems and …

Abstract Machine Learning (ML) is an expressive framework for turning data into computer
programs. Across many problem domains---both in industry and policy settings---the types of …

A surprisingly sticky belief is that a machine learning model merely reflects existing
algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear …

In (2), we provide rigorous evidence that bias in machine learning models—as evaluated by
multiple metrics such as i) area under the ROC curve (AUC), ii) demographic parity …