1. What principle of responsible AI ensures that AI systems treat all people fairly and without bias?
A) Transparency
B) Fairness
C) Inclusiveness
D) Accountability
Explanation: The principle of Fairness ensures that AI systems treat all people fairly and without bias.
2. Which capability of Azure Machine Learning helps data scientists identify and mitigate bias in their models?
A) Model interpretability
B) Automated ML
C) Data labeling
D) Hyperparameter tuning
Explanation: Model interpretability helps data scientists identify and mitigate bias in their models.
3. Why did Microsoft retire certain facial recognition capabilities in the Face service?
A) To improve system performance
B) To reduce costs
C) To prevent misuse that could lead to stereotyping and discrimination
D) To comply with new data protection laws
Explanation: Microsoft retired certain facial recognition capabilities to prevent misuse that could lead to stereotyping and discrimination.
4. Which principle focuses on ensuring AI systems perform reliably and safely?
A) Privacy and security
B) Reliability and safety
C) Transparency
D) Inclusiveness
Explanation: The principle of Reliability and safety focuses on ensuring AI systems perform reliably and safely.
5. What should be considered even after AI systems are in production to ensure they respect privacy and security?
A) System updates
B) Data and decisions made from the data
C) User feedback
D) Model performance
Explanation: Even after AI systems are in production, data and decisions made from the data should be considered to ensure privacy and security.
6. What principle emphasizes that AI should benefit all parts of society regardless of factors like physical ability or ethnicity?
A) Inclusiveness
B) Transparency
C) Fairness
D) Accountability
Explanation: The principle of Inclusiveness emphasizes that AI should benefit all parts of society regardless of factors like physical ability or ethnicity.
7. Which principle of responsible AI ensures that AI systems are understandable and that users are aware of the system's purpose and limitations?
A) Transparency
B) Fairness
C) Inclusiveness
D) Reliability and safety
Explanation: The principle of Transparency ensures that AI systems are understandable and that users are aware of the system's purpose and limitations.
8. What principle states that designers and developers should ensure AI solutions meet ethical and legal standards?
A) Accountability
B) Fairness
C) Privacy and security
D) Transparency
Explanation: The principle of Accountability states that designers and developers should ensure AI solutions meet ethical and legal standards.
9. Which responsible AI principle is demonstrated by an AI-based system that recommends prescriptions being rigorously tested before release?
A) Fairness
B) Reliability and safety
C) Transparency
D) Inclusiveness
Explanation: The principle of Reliability and safety is demonstrated by an AI-based system that recommends prescriptions being rigorously tested before release.
10. What principle is related to the AI system's ability to ensure the security of personal data and maintain user privacy?
A) Fairness
B) Privacy and security
C) Inclusiveness
D) Transparency
Explanation: The principle of Privacy and security is related to the AI system's ability to ensure the security of personal data
and maintain user privacy.
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