As artificial intelligence becomes increasingly prevalent in critical decision-making domains such as recruitment, credit approval, and criminal justice, algorithmic bias has come to be regarded as a new vehicle for systemic discrimination. However, some argue that, compared with the biases inherent in human decision-making, algorithms actually offer a more transparent and auditable opportunity for correction. To what extent do you agree with the latter view? Please elaborate on your position with reference to specific domains, and support your answer with examples or logical reasoning.