As artificial intelligence plays an increasingly significant role in decision-making across areas such as recruitment, credit approval, and criminal justice, concerns are growing that algorithmic bias could lead to systemic injustice. In balancing the pursuit of efficiency with the guarantee of fairness, do you believe society should prioritize ensuring the transparency and explainability of AI systems, or should it place greater emphasis on predictive accuracy and accept a certain degree of "black-box" operation? Please articulate your position, providing reasons and concrete examples.
