The design of a hiring algorithm can impact diversity outcomes, according to Danielle Li, an MIT professor and co-author of the working paper.

In this paper, the maximum likelihood estimation of a general two-level structural equation model with an unbalanced design is formulated as a missing data problem by treating the latent random ...

Stephen D. Donnel, Brian J. Lunday, Nicholas T. Boardman, Analysis of a Distributed Command-and-Control Algorithm to Implement Mosaic Warfare, Military Operations Research, Vol. 29, No. 1 (2024), pp.

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

The oversimplification of algorithms can lead to stereotyping and can reinforce existing biases.

Algorithm auditing can promote the deployment of transparent and trustworthy AI. Here's what auditing startups need to succeed.