Explain model risk management and why it matters in AI projects.

• A. Model risk management handles risks related to model performance, bias, drift, interpretability, and governance; essential to ensure reliability, compliance, and stakeholder trust
• B. It focuses only on training speed and computational efficiency
• C. It is optional and has little impact on project outcomes
• D. It only concerns data collection procedures

Answer: (C)