In which situation can Artificial Intelligence produce incorrect results?
Answer and explanation
Correct answer: When the training data is incorrect or incomplete
An AI model learns patterns from its training data. If that data is wrong, incomplete, unrepresentative, or biased, the model may learn an unreliable pattern and produce incorrect results. Accurate data and a clear question generally improve performance, while electricity is necessary for operation but is not itself the stated cause of wrong results.
Frequently asked questions
What is the correct answer to this question?
When the training data is incorrect or incomplete
Why is this the correct answer?
An AI model learns patterns from its training data. If that data is wrong, incomplete, unrepresentative, or biased, the model may learn an unreliable pattern and produce incorrect results. Accurate data and a clear question generally improve performance, while electricity is necessary for operation but is not itself the stated cause of wrong results.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: AI Ethics.
