AI fundamentals · Question 47 of 60

An ML system was trained once and has been running unchanged since then. It does not recognize new product categories. How is this to be assessed?

1 answer is correct. Hard

1. A It operates on what it initially learned and must be explicitly retrained for new capabilities
2. B It is defective, because every ML system automatically keeps learning from new data in operation without retraining
3. C It is enough to give the system Internet access so that it learns new categories itself
4. D It is necessarily a rule-based system, because real ML systems always adapt