Researchers created an algorithm to identify the people most at risk for long-term homelessness in Los Angeles. Some worry the tool itself poses risks.
As big data rises in prominence, it's time to consider turning quantitative data into a qualitative experience for those with a temporary or permanent loss of sight.
The criminal justice system has been using predictive algorithms for decades, but research shows even the best algorithms are no better than humans at predicting recidivism—and neither are very good.