What qualities should good-quality data have for use in Artificial Intelligence?
Answer and explanation
Correct answer: Accurate, clean, and relevant
Option A is correct because an AI system learns patterns from the data it receives. Accurate data reflects the real situation, clean data has fewer errors, duplicates, or unnecessary entries, and relevant data is connected to the task being solved. These qualities help the model produce dependable results. Incomplete or inconsistent data can confuse learning, outdated data may not represent current conditions, and intentionally biased data can lead to unfair or misleading predictions.
Frequently asked questions
What is the correct answer to this question?
Accurate, clean, and relevant
Why is this the correct answer?
Option A is correct because an AI system learns patterns from the data it receives. Accurate data reflects the real situation, clean data has fewer errors, duplicates, or unnecessary entries, and relevant data is connected to the task being solved. These qualities help the model produce dependable results. Incomplete or inconsistent data can confuse learning, outdated data may not represent current conditions, and intentionally biased data can lead to unfair or misleading predictions.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Data Literacy. Topic: Data features.
