As per the findings of a new study, computer algorithms are superior than people at predicting which offenders are expected to commit crimes in the near future. However, the predictions are not accurate in some scenarios.
The new study has also found that computer algorithms can beat human intelligence at anticipating which criminals will get arrested again.
Risk-assessment algorithms that predict future misdemeanours have again and again helped judges in determining who remains behind bars. Nonetheless, the aforesaid systems have come under fire for displaying racial propensity. Apart from that , some research has given grounds to suspect that algorithms are any superior at forecasting arrests than humans are. A study conducted in 2018 in which human participants were put in opposition to COMPAS, which is a risk-assessment tool, found that people forecasted repetitive criminal offences about as well as the software.
It is to be noted that the new set of experiments confirms that humans forecast repeat felons about as well as algorithms when the people are given instantaneous evaluation on the precision of their forecasts and when they are shown bound information about each offender. However, when individuals don’t get feedback, humans are found to be worse than computers, as per the study.
What is your opinion about the use of AI to predict criminals? Let us know in the comments below!
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