Consider the following debate between two professionals regarding criminal justice reform.
Judge Harmon: Risk-assessment algorithms used in criminal sentencing inevitably reflect the historical prejudices present in their training data. Because these systems perpetuate systemic inequalities under the guise of objectivity, we must suspend their use to prevent the further exacerbation of these disparities.
Data Scientist Lin: I agree that current algorithms reflect historical biases. However, human judges exhibit even greater implicit bias. Since reverting to a purely human sentencing system would be demonstrably more prejudiced, suspending the algorithms would actually worsen the very disparities you wish to mitigate.
On which of the following propositions do Judge Harmon and Data Scientist Lin hold opposing views?
- ACurrent risk-assessment algorithms used in criminal sentencing reflect historical prejudices found within their training data.
- BAny sentencing system that perpetuates systemic disparities should be permanently banned from the criminal justice system.
- Suspending the use of risk-assessment algorithms in criminal sentencing would successfully prevent the further exacerbation of systemic disparities.Cevap
- DHuman judges exhibit a greater degree of implicit bias than do the risk-assessment algorithms currently used in sentencing.
- EThe training data used to develop risk-assessment algorithms for criminal sentencing can eventually be purged of historical prejudices.