MCQs on “AI and Ethics: Balancing Innovation with Accountability”
1. What does AI ethics primarily address?
A) Technological advancements in AI
B) The ethical implications and societal impact of AI systems
C) The technical architecture of AI algorithms
D) The economic benefits of AI innovation
Answer: B
2. Which of the following is a key principle in AI ethics?
A) Profit maximization
B) Data confidentiality
C) Accountability and transparency
D) Exclusive proprietary rights
Answer: C
3. What is the primary concern regarding AI and bias?
A) High cost of AI systems
B) Lack of innovation
C) Discrimination and inequality due to biased algorithms
D) Low computational power
Answer: C
4. Which international organization has proposed ethical guidelines for AI development?
A) UNESCO
B) WTO
C) IMF
D) WHO
Answer: A
5. The term “AI black box” refers to:
A) AI systems trained on encrypted data
B) Complex algorithms with unintelligible decision-making processes
C) Physical storage for AI systems
D) Proprietary AI hardware
Answer: B
6. What is the significance of explainability in AI?
A) Enhances performance metrics
B) Ensures that AI decisions can be understood and justified
C) Reduces computational costs
D) Limits data usage
Answer: B
7. Which ethical dilemma arises from AI’s impact on jobs?
A) Data localization issues
B) Surveillance concerns
C) Technological unemployment
D) Lack of cloud storage
Answer: C
8. What is meant by “AI accountability”?
A) Holding developers responsible for all technological failures
B) Ensuring that AI systems are energy efficient
C) Assigning responsibility for AI actions and outcomes
D) Restricting access to AI technologies
Answer: C
9. What is “algorithmic transparency”?
A) Open access to AI source codes
B) Detailed documentation of software architecture
C) Clarity on how AI algorithms make decisions
D) Mandatory third-party audits for AI systems
Answer: C
10. Which concept is most relevant to preventing AI misuse?
A) Neural networks
B) Ethics by design
C) Data scaling
D) Cloud storage
Answer: B
11. AI ethics includes addressing issues related to:
A) Autonomous weapons
B) Privacy violations
C) Decision-making biases
D) All of the above
Answer: D
12. What is “ethical AI”?
A) AI systems adhering to legal frameworks only
B) AI systems that align with societal values and moral principles
C) AI systems restricted to non-commercial use
D) AI systems designed for entertainment purposes
Answer: B
13. Why is data privacy crucial in AI systems?
A) To increase AI system efficiency
B) To protect individuals’ sensitive information from misuse
C) To improve algorithmic complexity
D) To reduce costs
Answer: B
14. What is the purpose of bias audits in AI systems?
A) Identify errors in software coding
B) Detect and mitigate biases in AI algorithms
C) Improve computational speed
D) Evaluate AI hardware quality
Answer: B
15. Which sector faces significant ethical challenges with AI implementation?
A) Healthcare
B) Law enforcement
C) Financial services
D) All of the above
Answer: D
16. The term “AI ethics gap” refers to:
A) Disparity in access to AI resources
B) The gap between AI innovation and ethical regulation
C) Difference in AI capabilities across countries
D) Lack of funding for ethical AI
Answer: B
17. What is the main ethical concern with facial recognition AI?
A) Reduced computational speed
B) Violation of privacy and potential misuse
C) High cost of implementation
D) Limited real-world applications
Answer: B
18. Which ethical framework focuses on the greatest good for the greatest number?
A) Deontological ethics
B) Utilitarian ethics
C) Virtue ethics
D) Contractual ethics
Answer: B
19. Which global tech company has published AI ethical guidelines?
A) Google
B) Tesla
C) SpaceX
D) Twitter
Answer: A
20. Autonomous weapons pose ethical concerns primarily because:
A) They are difficult to manufacture
B) They may make life-and-death decisions without human intervention
C) They are expensive
D) They rely on outdated AI technologies
Answer: B
21. What is “deepfake technology”?
A) AI-driven realistic imitation of voices and faces
B) Encrypted cloud storage solution
C) Real-time natural language processing
D) AI for autonomous vehicle navigation
Answer: A
22. Which ethical principle can help mitigate AI bias?
A) Data inclusivity
B) Cost reduction
C) Faster algorithms
D) Data anonymization
Answer: A
23. In AI ethics, “responsible innovation” means:
A) Innovating without public scrutiny
B) Innovating while considering societal and ethical impacts
C) Developing AI systems for only commercial use
D) Ensuring profitability through AI
Answer: B
24. What is “surveillance capitalism”?
A) AI technology for national security
B) Monetizing data through AI-driven surveillance
C) AI applications in agriculture
D) Open-source AI platforms
Answer: B
25. Which of the following laws governs AI ethics in the EU?
A) GDPR
B) HIPAA
C) CCPA
D) DMCA
Answer: A
26. What is an ethical concern related to AI in healthcare?
A) High cost of equipment
B) Lack of personalized treatments
C) Misuse of sensitive patient data
D) Inadequate storage facilities
Answer: C
27. “AI governance” refers to:
A) Technical AI frameworks
B) Policies and regulations guiding ethical AI use
C) Exclusive corporate control of AI
D) Centralized AI storage solutions
Answer: B
28. How can AI foster inclusivity?
A) By automating manual jobs
B) By ensuring fair access and unbiased decision-making
C) By focusing on profit maximization
D) By reducing energy consumption
Answer: B
29. Which of the following is a principle in the Asilomar AI guidelines?
A) AI systems must be profitable
B) AI must prioritize national security
C) AI must benefit humanity
D) AI systems should operate autonomously
Answer: C
30. What is a potential solution for ethical AI development?
A) Allowing unrestricted AI access
B) Collaborative efforts between governments, industries, and academia
C) Limiting AI use to non-commercial sectors
D) Exclusively using AI for defense
Answer: B
