In which situation does the likelihood of bias in an Artificial Intelligence system increase?
Answer and explanation
Correct answer: जब प्रशिक्षण डेटा एकतरफा या असंतुलित हो
AI systems learn from patterns in their training data. If that data overrepresents some groups or situations and underrepresents others, the model may produce systematically unfair results for the less-represented cases. Diverse data and regular evaluation can reduce this risk, while a clearly defined objective helps the project but cannot alone remove bias.
Frequently asked questions
What is the correct answer to this question?
जब प्रशिक्षण डेटा एकतरफा या असंतुलित हो
Why is this the correct answer?
AI systems learn from patterns in their training data. If that data overrepresents some groups or situations and underrepresents others, the model may produce systematically unfair results for the less-represented cases. Diverse data and regular evaluation can reduce this risk, while a clearly defined objective helps the project but cannot alone remove bias.
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.
