But shouldn't the algorithms of computer-driven lending programs be blind to ethnicity? Not quite, according to a new study. Washington Post personal finance columnist Michelle Singletary has been ...

The results also point to the root of the problem — and it isn’t the computer program. “We shouldn’t be blaming the algorithm,” said study leader Dr. Ziad Obermeyer, a machine learning ...

The study’s authors then retrained a new algorithm using patients’ biological data, rather than the insurance claims data that the original program used, and found an 84% reduction in bias.

Analysis of records from a major US hospital revealed that the algorithm used effectively let whites cut in line for special programs for patients with complex, chronic conditions such as diabetes ...

The algorithm addresses something called the library sorting problem (more formally ... to Attract It The Choose Europe for Science program will invest more than half a billion dollars between ...