5. What is the goal of accountability in AI?

B) Establishing clear lines of responsibility for AI actions

1. What is a key characteristic of Artificial Intelligence (AI)?

B) Acquiring knowledge and improving from experience

14. What is an example of AI violating data privacy?

A) AI collecting user data without consent

1. What is a key characteristic of Artificial Intelligence (AI)?

B) Acquiring knowledge and improving from experience

10. What is the role of transparency in AI ethics?

D) Ensuring AI decisions are understandable

3. What is an example of AI transparency?

B) Providing clear explanations of AI-driven loan approvals

2. Why is fairness important in AI systems?

D) To eliminate biases and ensure equitable treatment

7. What is an example of human-centric AI design?

A) AI assisting doctors in medical image analysis

13. Why is explainability important in AI?

A) To make AI decision-making understandable

15. What is an ethical concern in AI-driven hiring systems?

B) AI unintentionally discriminating based on biased training data

11. What is a key challenge in AI fairness?

B) Biases in training data leading to discriminatory outcomes

9. Which of the following is an ethical risk in AI?

C) Data bias leading to discriminatory outcomes

8. How can AI support environmental sustainability?

A) Using energy-efficient data centers

6. How do AI systems ensure safety and reliability?

A) By conducting extensive testing before deployment

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AI Ethics

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Questions 16

Answers

1
4. Which of the following is a privacy-enhancing technique in AI?
C) Sharing sensitive data publicly
A) Differential privacy
B) Ignoring data protection laws
D) Deleting all user data automatically
2
5. What is the goal of accountability in AI?
B) Establishing clear lines of responsibility for AI actions
C) Allowing AI to operate without regulations
A) Preventing humans from taking responsibility
D) Ensuring AI systems never make mistakes
3
1. What is a key characteristic of Artificial Intelligence (AI)?
A) Following pre-defined instructions without learning
C) Operating only with human supervision
B) Acquiring knowledge and improving from experience
D) Avoiding the use of data
4
14. What is an example of AI violating data privacy?
C) AI following GDPR guidelines
B) AI encrypting personal data for security
D) AI using anonymized data
A) AI collecting user data without consent
5
1. What is a key characteristic of Artificial Intelligence (AI)?
D) Avoiding the use of data
A) Following pre-defined instructions without learning
B) Acquiring knowledge and improving from experience
C) Operating only with human supervision
6
10. What is the role of transparency in AI ethics?
B) Hiding AI processes from users
D) Ensuring AI decisions are understandable
C) Removing human intervention
A) Making AI systems unpredictable
7
3. What is an example of AI transparency?
D) Hiding how AI systems analyze data
A) Keeping AI decision-making confidential
C) Allowing AI to operate without human oversight
B) Providing clear explanations of AI-driven loan approvals
8
2. Why is fairness important in AI systems?
A) To ensure AI systems are profitable
B) To replace human decision-making completely
D) To eliminate biases and ensure equitable treatment
C) To make AI systems faster
9
7. What is an example of human-centric AI design?
B) AI replacing all medical professionals
A) AI assisting doctors in medical image analysis
D) AI operating without any ethical considerations
C) AI deciding medical treatments without human input
10
13. Why is explainability important in AI?
A) To make AI decision-making understandable
C) To increase AI complexity
D) To eliminate human oversight
B) To prevent people from questioning AI decisions
11
15. What is an ethical concern in AI-driven hiring systems?
B) AI unintentionally discriminating based on biased training data
A) AI reducing the time required for hiring
C) AI improving recruitment efficiency
D) AI offering equal opportunities
12
11. What is a key challenge in AI fairness?
C) AI systems working without any errors
A) AI always making perfect decisions
B) Biases in training data leading to discriminatory outcomes
D) AI being too slow in decision-making
13
9. Which of the following is an ethical risk in AI?
D) AI assisting researchers in data analysis
A) AI increasing efficiency
B) AI improving decision-making
C) Data bias leading to discriminatory outcomes
14
8. How can AI support environmental sustainability?
C) Ignoring power consumption
D) Prioritizing faster processing over efficiency
A) Using energy-efficient data centers
B) Increasing the carbon footprint
15
6. How do AI systems ensure safety and reliability?
C) By reducing the number of training models
B) By eliminating human oversight
D) By using only one dataset for training
A) By conducting extensive testing before deployment
16
12. Which ethical principle ensures that AI systems remain under human supervision?
C) Efficiency
A) Transparency
D) Autonomy
B) Human control

AI Ethics Flashcards | StudBud