Page 419 - AI Ver 3.0 Class 11
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5. Why is privacy important in AI?
a. It helps in faster decision-making. b. It protects individual independence and dignity.
c. It reduces the cost of data storage. d. It makes AI systems more accurate.
6. What is one potential consequence of biased AI systems mentioned in the text?
a. Decreased trust in technology b. Increased fairness in decision-making
c. Enhanced user satisfaction d. Greater reliance on AI systems
7. What is the primary cause of facial recognition algorithms having difficulty identifying people with darker
complexions?
a. Poor camera quality b. Lack of diverse training data
c. Over-representation of older faces d. Use of outdated algorithms
8. Which of the following is NOT a strategy for mitigating bias in AI systems?
a. Ethical guidelines and policies b. Unsupervised learning techniques
c. Data transparency and quality d. Bias testing and auditing
9. What does bias in AI typically reflect?
a. Technological advancements
b. Social prejudices about race, gender, age, and culture
c. Random data anomalies
d. Errors in coding
10. What is meant by bias awareness in the context of AI?
a. Understanding that AI systems can show unfair preferences
b. Ensuring AI systems are technologically advanced
c. Using only the latest AI algorithms
d. Avoiding the use of AI in sensitive areas
B. Fill in the blanks.
1. Bias is defined as against individuals or groups, especially in ways that are considered unfair.
2. AI systems learn to make decisions based on data.
3. Data bias happens when some parts of a are given too much weight or are over-represented.
4. AI promotes fairness and equity.
5. ensures that AI algorithms and systems function as intended without facing unforeseen errors or
deviating from their designated behaviour.
6. The Moral Machine is an online platform designed to explore dilemmas in AI through interactive
scenarios.
7. is defined as the discipline that deals with human moral obligations and duties.
8. refers to the bias that can be present in the rationality, implementation, and outcomes of
algorithms.
9. refers to systematic patterns of deviation from rationality or objectivity in judgement or
decision-making.
10. AI bias in real life means that the decisions made by AI systems are not always or accurate because
they are influenced by biases.
AI Ethics and Values 417

