MCQs

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Overall MCQs for Reference

Which of the following is a major ethical concern in the development of AI systems?
a. Algorithmic bias
b. Fast computational speed
c. Wide data storage
d. Wireless connectivity
Answer: a. Algorithmic biasgeeksforgeeks+1
What is the primary focus of AI ethics?
a. Ensuring AI systems are efficient and error-free
b. Guiding AI technologies according to ethical principles
c. Maximizing profits from AI
d. Achieving technological advancement only
Answer: b. Guiding AI technologies according to ethical principleslearncbse
What ethical issue does AI face in language processing tasks?
a. Training speed
b. Bias in datasets
c. Data redundancy
d. High memory use
Answer: b. Bias in datasetsscribd+1
Which term describes AI’s potential to treat people differently based on race or gender?
a. Explainability
b. Automation
c. Discrimination
d. Transparency
Answer: c. Discriminationgeeksforgeeks
Why is transparency important in AI?
a. It keeps AI invisible to users
b. It clarifies AI’s decision-making
c. It improves coding speed
d. It hides errors
Answer: b. It clarifies AI’s decision-makinglearncbse
Which ethical principle is concerned with fairness in AI systems?
a. Transparency
b. Accountability
c. Bias and fairness
d. Privacy
Answer: c. Bias and fairnesslearncbse
Which of the following best addresses privacy concerns in AI?
a. Increasing system speed
b. Accessing data without consent
c. Ensuring users give informed consent for data use
d. Ignoring local regulations
Answer: c. Ensuring users give informed consent for data usegeeksforgeeks
What is a ‘black box problem’ in AI ethics?
a. Lack of computational power
b. Unknown or opaque decision processes in AI
c. Difficulty in data storage
d. Quick error-finding
Answer: b. Unknown or opaque decision processes in AIdistancediary
What type of learning in AI involves learning from data without clear interpretability?
a. Rule-based systems
b. Supervised learning
c. Deep learning
d. Differential privacy
Answer: c. Deep learningscribd+1
What is a risk of using AI in defense applications?
a. Reduced cost
b. Fully autonomous weapons
c. Enhanced user privacy
d. Software updates
Answer: b. Fully autonomous weaponstutorialaicsip
What is ‘differential privacy’ in AI?
a. Training without data
b. Privacy technique protecting individual information in datasets
c. Data sharing with vendors
d. Maximizing profit
Answer: b. Privacy technique protecting individual information in datasetsscribd
Which group is often disproportionately harmed by AI biases?
a. AI developers
b. Marginalized or minority communities
c. Hardware manufacturers
d. Software vendors
Answer: b. Marginalized or minority communitiesbritannica+1
Which of these is NOT typically a pillar of AI ethics?
a. Explainability
b. Fairness
c. Efficiency
d. Privacy
Answer: c. Efficiencylearncbse
What is the ‘Moral Machine’ project known for?
a. Teaching coding skills
b. Exploring ethical dilemmas in AI decision-making
c. Developing new neural nets
d. Generating social media posts
Answer: b. Exploring ethical dilemmas in AI decision-makinglearncbse
How can developers mitigate bias in AI?
a. Increasing computational complexity
b. Diverse and fair datasets
c. Ignoring outliers
d. Restricting data collection
Answer: b. Diverse and fair datasetsgeeksforgeeks+1
What is an example of AI bias in healthcare?
a. Predictive policing algorithms
b. Lower diagnostic accuracy for certain patient groups
c. High-speed computation
d. Cloud-based backups
Answer: b. Lower diagnostic accuracy for certain patient groupsbritannica+1
What is meant by ‘AI explainability’?
a. Allowing only experts to use AI
b. Describing AI’s actions in understandable terms
c. Sending data to the cloud
d. Hiding training algorithms
Answer: b. Describing AI’s actions in understandable termsdistancediary+1
Why is accountability important in AI systems?
a. To accelerate deployment
b. To ensure responsibilities for outcomes can be traced
c. To bypass regulations
d. To minimize computational cost
Answer: b. To ensure responsibilities for outcomes can be tracedgeeksforgeeks
How does AI challenge human autonomy?
a. By increasing entertainment value
b. By automating decision-making without user input
c. By accelerating internet speeds
d. By improving hardware
Answer: b. By automating decision-making without user inputgeeksforgeeks
What is a primary ethical concern around AI job displacement?
a. Reduced use of computers
b. Unemployment or changes to labor markets
c. Increasing computer vision accuracy
d. Upgrading mobile apps
Answer: b. Unemployment or changes to labor marketsdistancediary+1
What does “informed consent” require in AI data gathering?
a. No notification to users
b. Users are made fully aware of how data will be used
c. Data gathered via third party only
d. Consent is permanently valid
Answer: b. Users are made fully aware of how data will be usedgeeksforgeeks
What is the purpose of developing AI policies?
a. Increase AI bias
b. Ensure responsible AI use and public trust
c. Exclude users from decisions
d. Avoid regulations
Answer: b. Ensure responsible AI use and public trustlearncbse
Why is “data minimization” encouraged in AI applications?
a. To make AI faster
b. To reduce privacy risks by collecting only necessary data
c. To maximize marketing
d. To encourage large-scale surveillance
Answer: b. To reduce privacy risks by collecting only necessary datageeksforgeeks
What is an ethical concern with AI-controlled surveillance?
a. Lawful policing only
b. Infringing on indiviudal privacy through mass monitoring
c. Adding encryption to devices
d. Speeding up facial recognition
Answer: b. Infringing on individual privacy through mass monitoringunesco+1
Which is an example of AI fairness not being met?
a. System gives equal credit scores regardless of history
b. Loan approval system discriminates against certain groups
c. AI chooses random outputs
d. AI only detects spam
Answer: b. Loan approval system discriminates against certain groupsbritannica+1
The guiding principles to decide what is good or bad in AI are known as:
a. Moral
b. Ethics
c. Discipline
d. Respectful
Answer: b. Ethicscsiplearninghub
What is the main concern with “autonomous vehicles” in AI ethics?
a. Color choices of the car
b. Moral dilemmas in accident scenarios
c. High fuel efficiency
d. Cost of production
Answer: b. Moral dilemmas in accident scenariosscribd+1
What is a benefit of explainable AI (XAI)?
a. Increased opacity
b. Greater trust from users and regulators
c. More data storage
d. Faster computations
Answer: b. Greater trust from users and regulatorsgeeksforgeeks
Which of these is an ethical AI framework’s purpose?
a. Only technical debugging
b. Promoting transparency, fairness, and accountability
c. Preventing software downloads
d. Maximizing ad revenue
Answer: b. Promoting transparency, fairness, and accountabilitycsiplearninghub+1
What ethical challenge does data ownership present in AI?
a. Hardware failures
b. Uncertainty over who has rights to collected data
c. Increasing database speeds
d. Cloud outage management
Answer: b. Uncertainty over who has rights to collected datascribd
Which of these professions is directly affected by AI’s ethical implications?
a. Artists
b. Scientists and engineers
c. All sectors using AI technology
d. Only software programmers
Answer: c. All sectors using AI technologybritannica+1
What is the ethical issue when AI is used in hiring processes?
a. Hiring becomes completely random
b. Potential for bias and unfair practices against certain groups
c. No hiring possible with AI
d. Too rapid hiring
Answer: b. Potential for bias and unfair practices against certain groupsscribd+1
What is the best defense against malicious AI use?
a. No user authentication
b. Strong cybersecurity policies and ethical guidelines
c. Ignoring all software updates
d. Secretive algorithms
Answer: b. Strong cybersecurity policies and ethical guidelinesdistancediary+1
What is meant by “value alignment” in AI?
a. AI matching processing speed with users
b. AI systems’ decisions are consistent with human values
c. Only focusing on efficiency
d. Increased marketing
Answer: b. AI systems’ decisions are consistent with human valuesknowledgemanagementdepot+1
Preference for one group over another in AI outcomes is called:
a. Bias
b. Part of AI by design
c. Violating privacy
d. Data storage
Answer: a. Biascsiplearninghub
What does “inclusion” mean in the context of ethical AI?
a. Excluding minority data
b. Considering diverse voices when designing AI applications
c. Speeding up data transfer
d. Market segmentation
Answer: b. Considering diverse voices when designing AI applicationscsiplearninghub+1
What is a consequence of lack of accountability in AI systems?
a. Clear assignment of errors
b. No one is responsible for AI errors or harm
c. Cost control
d. High explainability
Answer: b. No one is responsible for AI errors or harmgeeksforgeeks
AI “auditing” helps ensure:
a. Data cannot be tested
b. Independent assessment and verification of AI operations
c. Data is always deleted
d. Only code runs instantly
Answer: b. Independent assessment and verification of AI operationsdistancediary+1
Which legal regulation protects health data privacy in the AI context (US)?
a. GDPR
b. HITECH Act
c. HIPAA
d. CCPA
Answer: c. HIPAAscribd
Why is ongoing monitoring necessary for ethical AI?
a. To find new employees
b. To continually detect and correct biases or other risks
c. For faster computation
d. For cloud storage
Answer: b. To continually detect and correct biases or other risksbritannica+1
What is automated decision-making in AI sometimes criticized for?
a. Always being slow
b. Lack of transparency and difficulty for users to appeal decisions
c. Being too explainable
d. Irrelevant data collection
Answer: b. Lack of transparency and difficulty for users to appeal decisionsbritannica+1
What is a concern with deepfakes and generative AI?
a. Only improving image quality
b. Potential misuse for misinformation or fraud
c. Creating art
d. Reducing video size
Answer: b. Potential misuse for misinformation or fraudgyansetu
What does “responsible AI” include?
a. Ignoring regulations
b. Prioritizing ethical, lawful, and socially beneficial outcomes
c. Maximizing profits over privacy
d. Secrecy in model building
Answer: b. Prioritizing ethical, lawful, and socially beneficial outcomesigmguru+1
Inclusion of which of the following groups is critical in creating fair AI?
a. Only AI developers
b. Only end users
c. Diverse social, cultural, and economic groups
d. Only government officials
Answer: c. Diverse social, cultural, and economic groupscsiplearninghub+1
What is “explainable AI” (XAI) designed to solve?
a. Overly transparent decisions
b. Lack of model interpretability for users and regulators
c. Only computation errors
d. Coding inefficiencies
Answer: b. Lack of model interpretability for users and regulatorsdistancediary+1
How can data diversity reduce AI bias?
a. By using similar datasets only
b. By training with diverse, representative datasets
c. By increasing hardware speed
d. By limiting algorithm choices
Answer: b. By training with diverse, representative datasetslearncbse+1
Which is an example of privacy invasion using AI?
a. Granting data access only with user approval
b. Mass surveillance with facial recognition without user consent
c. User-initiated data deletions
d. Data encryption enabled by default
Answer: b. Mass surveillance with facial recognition without user consentunesco+1
What is the primary risk of AI with respect to discrimination?
a. Increased transparency
b. Perpetuating and amplifying existing societal biases
c. Encouraging explainability only
d. Improving job satisfaction
Answer: b. Perpetuating and amplifying existing societal biasesbritannica+1
Which of the following describes “autonomy and control” issues in AI?
a. AI working without any human supervision or override
b. AI speed limits
c. Storage facility upgrades
d. Power consumption reduction
Answer: a. AI working without any human supervision or overridegeeksforgeeks
What is the effect of an ethical AI framework?
a. Fosters transparency, fairness, and accountability in AI systems
b. Limits AI development to only one sector
c. Reduces system performance
d. Hides bias from users
Answer: a. Fosters transparency, fairness, and accountability in AI systemscsiplearninghub+1ystemsknowledgemanagementdepot+1

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