Why is an AI system monitored after deployment?

Correct answer: To detect performance decline, errors, and data changes in real use

After deployment, an AI system works with real data and real-world conditions. Monitoring helps detect performance decline, new errors, bias, and changes in data, so the system can be improved or updated when needed. Therefore, option A is correct. Option B suggests daily retraining without need, whereas monitoring first identifies whether a problem or change has occurred.