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

Although we evaluated the diversity of applicants selected by the algorithms, we did not incorporate any explicit diversity preferences in their design.

Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has increased over the years, so has the development of simulation-based ...

Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the ...

Twitter is learning first-hand about the challenges of eliminating racial bias in algorithms. The social network’s Liz Kelley said the company had “more analysis” to do after cryptographic ...

For example, an algorithm reviewing IRS collection data may determine that low-income taxpayers are less likely to fight – and more likely to pay – tax assessments than wealthy taxpayers.

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