University of Iowa researchers are examining discriminative qualities of artificial intelligence and machine learning models, which are likely to be unfair against one’s race, gender, or other ...

There is real risk for discrimination when designing algorithms for machine learning systems, including the real potential for exclusionary health insurance systems.

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Today at the RightsCon conference, a coalition of nonprofits released The Toronto Declaration on Machine Learning, a new document calling for algorithms to preserve human rights. Amnesty ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The field of machine learning includes the development and application of computer algorithms that improve with experience. Machine learning methods can be divided into supervised, semi-supervised ...