[2026] PTE Academic Reading - Multiple Choice, Single Answer

The rapid integration of artificial intelligence into the judicial system has sparked a contentious debate regarding the nature of algorithmic fairness. Proponents argue that machine learning models can eliminate human biases, such as fatigue or personal prejudice, by adhering strictly to data-driven patterns. However, this perspective overlooks the fact that historical data often contains the very systemic inequalities that reformists seek to eradicate. If a model is trained on biased sentencing records from the past, it will inevitably codify and perpetuate those injustices under the guise of mathematical objectivity. Furthermore, the 'black box' nature of complex algorithms makes it nearly impossible for defendants to challenge the logic behind a life-altering decision. While technology offers the promise of efficiency, it should never be permitted to bypass the transparency and moral accountability inherent in human judgment.