Which of the following is a primary ethical concern in AI risk management?

• A. Model bias.
• B. Increased data storage.
• C. Faster inference.
• D. Color of UI.

Answer: (A)

Model bias is the primary ethical concern in AI risk management because bias in data or model behavior can produce unfair or discriminatory outcomes for individuals or groups, undermining trust, safety, and equal treatment. In AI risk management, the focus is on identifying where bias can enter—from the data used to train the model, to labeling, to modeling choices—and implementing ways to mitigate it, such as auditing for fairness, using diverse and representative data, and applying fairness metrics. While data storage, faster inference, or UI color can affect privacy, performance, or usability, they do not pose the same fundamental ethical risk to people as biased decisions do.