Consider the following argument by a legal scholar:
'Opponents of introducing autonomous algorithmic sentencing in criminal courts argue that because algorithmic models reflect historical training data, they inevitably perpetuate past judicial biases. However, this objection is fundamentally flawed. While algorithmic models indeed rely on historical data, human judges are influenced by the very same historical precedents along with erratic cognitive biases. Furthermore, algorithmic parameters can be audited and calibrated for parity across demographic groups, whereas the implicit biases of individual human judges cannot be systematically standardized. Therefore, algorithmic sentencing systems have the potential to produce fairer outcomes than human adjudication alone.'
Match each excerpted statement from the scholar's argument with the precise logical role it performs in the reasoning.
- 'Opponents of introducing autonomous algorithmic sentencing in criminal courts argue that because algorithmic models reflect historical training data, they inevitably perpetuate past judicial biases.'A characterization of a counterargument that the author subsequently attempts to discredit.
- 'While algorithmic models indeed rely on historical data, human judges are influenced by the very same historical precedents along with erratic cognitive biases.'A premise establishing that a cited limitation of the proposed technology is equally shared by the conventional alternative.
- 'algorithmic parameters can be audited and calibrated for parity across demographic groups, whereas the implicit biases of individual human judges cannot be systematically standardized.'A premise establishing an operational advantage of the proposed technology over human decision-makers.
- 'algorithmic sentencing systems have the potential to produce fairer outcomes than human adjudication alone.'The main conclusion that the overall argument is structured to establish.