Which is a correct limitation of Artificial Intelligence?
Answer and explanation
Correct answer: It can give wrong outputs from wrong data
AI systems depend on the quality and suitability of their data, instructions, and design. If the input data are inaccurate, incomplete, or biased, the system may learn misleading patterns and produce unreliable outputs. This is a practical limitation. The other options make absolute claims that ignore the need for data, testing, and human checking.
Frequently asked questions
What is the correct answer to this question?
It can give wrong outputs from wrong data
Why is this the correct answer?
AI systems depend on the quality and suitability of their data, instructions, and design. If the input data are inaccurate, incomplete, or biased, the system may learn misleading patterns and produce unreliable outputs. This is a practical limitation. The other options make absolute claims that ignore the need for data, testing, and human checking.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: Introduction to AI.
