Algorithms are better than people in predicting recidivism, study says
|| Diversity Equity and Inclusion || Media Article || Short (5 min or less)
Researchers at Stanford University and UC Berkeley found that risk assessment tools, driven by algorithms, can provide accurate support for the decision process.