Which ethical concern is associated with the use of AI?

Algorithmic bias is a significant ethical concern associated with the use of AI because AI systems learn from data that may reflect historical inequalities or biases. When these systems are trained on biased data, they can perpetuate and even amplify these biases in decision-making processes. For instance, if an AI algorithm is used in hiring, it may favor candidates that align with past hiring trends, which can disadvantage individuals from underrepresented groups. This raises serious ethical questions regarding fairness, discrimination, and the potential for reinforcing existing societal inequalities.

In contrast, the other options, such as increased operational efficiency, enhanced customer service, and better data management, are generally viewed as positive outcomes of AI integration. While these benefits are crucial for organizations looking to improve their operations, they do not raise the same ethical concerns as algorithmic bias does. Understanding algorithmic bias is essential in developing transparent and equitable AI systems that serve all groups fairly and justly.