This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

Algorithmic bias can create and exacerbate health disparities. Famously, in 2019 Obermeyer and colleagues showed that an algorithm that used predicted health-care costs as a proxy for health-care ...

A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning.

Too often, we see the deluge of content streaming through our tech platforms as a wave washing over us. But the reality is that this is a “wave” we are choosing to ride. It’s useful to think of our ...

As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and disparate impact are considered. However, when you dig into the stats, these ...

In today’s hyper-competitive retail landscape, pricing decisions can make or break profitability. Gone are the days when a simple "cost-plus" model could guarantee profitability. Consumers are more ...

Israel’s recent campaign in Gaza marks a turning point in modern warfare: the fusion of counter-insurgency and artificial intelligence. Will Western states, with different traditions of ...

Earth System Models—complex computer models that describe Earth processes and how they interact—are critical for predicting future climate change. By simulating the response of our land, oceans and ...