Algorithms are better than people in predicting recidivism, study says
Researchers at Stanford University and UC Berkeley found that risk assessment tools, driven by algorithms, can provide accurate support for the decision process.
Researchers at Stanford University and UC Berkeley found that risk assessment tools, driven by algorithms, can provide accurate support for the decision process.