What risks are associated with AI bias and errors?

• A. Bias/errors can lead to damage due to model decisions affecting fairness and accountability.
• B. Bias always improves user trust.
• C. Bias only affects developers.
• D. Bias is never a concern in governance.

Answer: (A)

AI bias and errors introduce real risks because decisions made by models can be unfair or harmful when they rely on biased data or flawed reasoning. Such outcomes can affect individuals and groups, lead to legal and regulatory consequences, and damage an organization’s reputation and trust. That’s why the most accurate view is that bias and errors can cause damage through model decisions that touch fairness and accountability. It’s not true that bias always improves trust, nor that bias only affects developers, nor that bias isn’t a governance concern. Bias matters for governance because managing risk, ensuring compliance, and maintaining responsible AI depend on recognizing and mitigating these biases and errors.