MCQs

Disclaimer:

Educational Use Only:

The website links provided are to be used strictly for educational and knowledge-gaining purposes only.

No Misuse:

Do not misuse the links or the information contained therein for any commercial, illegal, or unethical activities.

Respect for Websites and Businesses:

Respect the intellectual property and business interests of the websites and their owners. Do not attempt to alter, copy, or redistribute content without proper authorization.

Acknowledge Value of Knowledge:

Recognize and value the knowledge and resources shared by these websites. Use the information responsibly and ethically.

No Endorsement:

The provision of these links does not imply endorsement of the linked sites, their content, or their products and services. Users are responsible for evaluating the suitability and accuracy of the information.

User Responsibility:

By accessing these links, you agree to use the information at your own risk and to comply with all applicable laws and website terms of use.

Overall MCQs for Reference

Which of the following is a major ethical limitation of AI systems?
a. Increased computational speed
b. Algorithmic bias and discrimination
c. Greater memory capacity
d. Improved automation
Answer: b. Algorithmic bias and discriminationgeeksforgeeks+2
What ethical issue arises when AI systems lack transparency in their decision-making?
a. Accountability
b. Profitability
c. Speed optimization
d. Hardware compatibility
Answer: a. Accountabilityscribd+1
Which aspect is critical to mitigate bias in AI algorithms?
a. Increasing algorithm complexity
b. Improving computational efficiency
c. Using diverse and representative training data
d. Ignoring minority groups
Answer: c. Using diverse and representative training datalearncbse+1
What does the “black box” problem in AI refer to?
a. Visible and straightforward algorithms
b. Lack of interpretability and explainability
c. Use of biased training data
d. Over-reliance on human feedback
Answer: b. Lack of interpretability and explainabilitydistancediary+1
Why is data privacy a concern in AI development?
a. AI requires no data
b. AI always encrypts data by default
c. AI relies on large amounts of personal data
d. AI makes only mathematical calculations
Answer: c. AI relies on large amounts of personal datageeksforgeeks+1
What term describes the risk of job loss due to AI automation?
a. Technological redundancy
b. Job displacement
c. Workforce transparency
d. Digital sovereignty
Answer: b. Job displacementpsbtrainingacademy+1
Which ethical principle focuses on the ability for users to understand how AI decisions are made?
a. Non-maleficence
b. Transparency
c. Beneficence
d. Flexibility
Answer: b. Transparencydistancediary+1
How can AI systems lead to discrimination?
a. By always treating everyone equally
b. By amplifying existing societal biases in data
c. By reducing human oversight
d. By removing all data
Answer: b. By amplifying existing societal biases in dataigmguru+1
A major ethical concern in healthcare AI applications is:
a. Overfitting
b. Patient privacy and consent
c. Syntax errors
d. Data compression
Answer: b. Patient privacy and consentgeeksforgeeks
Which ethical issue involves AI making decisions with a lack of human involvement?
a. Polymorphism
b. Autonomy and control
c. Explainability
d. Dataset partitioning
Answer: b. Autonomy and controlgeeksforgeeks
What is the significance of developing AI policies?
a. To increase AI bias
b. To decrease transparency
c. To ensure responsible AI use and public trust
d. To discourage AI innovation
Answer: c. To ensure responsible AI use and public trustlearncbse
Which strategy helps improve fairness in AI?
a. Reducing dataset size
b. Increasing computational speed
c. Regular algorithm audits
d. Ignoring user feedback
Answer: c. Regular algorithm auditsgeeksforgeeks
Inadequate human oversight in AI can lead to:
a. Fewer computational errors
b. Unintended and harmful consequences
c. Higher throughput
d. Reduced algorithm complexity
Answer: b. Unintended and harmful consequencesgeeksforgeeks
What ethical concern arises from the use of AI in surveillance?
a. Transparency
b. Privacy invasion
c. Algorithmic optimization
d. Cost reduction
Answer: b. Privacy invasiondistancediary+1
Which concept involves ensuring AI decisions align with human values?
a. Algorithmic bias
b. Ethical alignment
c. Data mining
d. Model regularization
Answer: b. Ethical alignmentscribd
Why is explainability in AI important?
a. To make code faster
b. To allow stakeholders to trust and verify decisions
c. To reduce the number of datasets
d. To minimize memory usage
Answer: b. To allow stakeholders to trust and verify decisionsdistancediary+1
An AI system with a lack of transparency is:
a. Always more accurate
b. Harder to audit and regulate
c. More cost-effective
d. Easily debuggable
Answer: b. Harder to audit and regulatedistancediary+1
Which pillar is not a core element of AI ethics?
a. Explainability
b. Fairness
c. Efficiency
d. Privacy
Answer: c. Efficiencylearncbse
What is a potential ethical issue with AI-powered hiring tools?
a. Increased reliability
b. Unintentional bias against certain groups
c. Complete removal of human HR staff
d. Perfect candidate matching
Answer: b. Unintentional bias against certain groupsscribd+1
Which concept refers to AI-based unfair treatment of individuals?
a. Randomness
b. Algorithmic bias
c. Data normalization
d. Ethical neutrality
Answer: b. Algorithmic biasgeeksforgeeks
Which of these best describes AI accountability?
a. Holding AI systems responsible for their actions
b. Reducing AI development costs
c. Increasing model parameters
d. Minimizing computational steps
Answer: a. Holding AI systems responsible for their actionsdistancediary+1
The use of facial recognition AI often faces criticism due to:
a. Enhanced resolution
b. Bias and privacy concerns
c. Memory optimization
d. Transparency
Answer: b. Bias and privacy concernsdistancediary+1
A “black box” AI algorithm is problematic because:
a. Its processes are easily understood
b. Its decisions are hard to interpret
c. It requires no training data
d. It never makes mistakes
Answer: b. Its decisions are hard to interpretgeeksforgeeks
What type of AI raises significant ethical concerns in warfare?
a. Rule-based AI
b. Autonomous weapons
c. Data mining AI
d. Expert systems
Answer: b. Autonomous weaponsgeeksforgeeks
Which ethical principle is threatened by unauthorized AI data collection?
a. Privacy
b. Utility
c. Utility
d. Compilation
Answer: a. Privacydistancediary+1
When AI systems inherit biases from training data, it leads to:
a. Increased accuracy
b. Biased outcomes
c. Random output
d. Lower throughput
Answer: b. Biased outcomeslearncbse+1
What helps foster public trust in AI applications?
a. More complex models
b. Ensuring transparency and privacy
c. Reducing human oversight
d. Limiting access to data
Answer: b. Ensuring transparency and privacylearncbse+1
What is one risk of unregulated AI surveillance?
a. Improved ethics
b. Invasive tracking and profiling
c. Data anonymization
d. Complete transparency
Answer: b. Invasive tracking and profilinggeeksforgeeks
Which ethical approach addresses societal impacts of AI?
a. Ethical individualism
b. Social responsibility
c. Economic neutrality
d. Model simplification
Answer: b. Social responsibilitygeeksforgeeks
How can AI bias in healthcare be identified?
a. Ignoring user demographics
b. Conducting algorithmic audits
c. Making assumptions
d. Averaging all patient results
Answer: b. Conducting algorithmic auditslearncbse+1
Why is consent important in AI data collection?
a. Legal and ethical compliance
b. Increases data redundancy
c. Decreases computational complexity
d. Reduces storage requirements
Answer: a. Legal and ethical compliancegeeksforgeeks
Limiting AI’s decision-making power best addresses which issue?
a. Speed optimization
b. Human oversight and control
c. Database normalization
d. Data compression
Answer: b. Human oversight and controlgeeksforgeeks
Which scenario best demonstrates AI misuse?
a. Algorithm transparency
b. Unauthorized surveillance using AI
c. Data anonymization
d. Algorithm certification
Answer: b. Unauthorized surveillance using AIgeeksforgeeks
Which factor is crucial to uphold fairness in AI-powered credit scoring?
a. Ignoring user income
b. Incorporating diverse datasets
c. Maximizing processing speed
d. Using single-source data only
Answer: b. Incorporating diverse datasetsgeeksforgeeks
What risk arises if AI is allowed unchecked autonomy in critical systems?
a. Improved fault tolerance
b. Potential for catastrophic failures
c. Reduced system complexity
d. Enhanced transparency
Answer: b. Potential for catastrophic failuresgeeksforgeeks
What is a challenge with determining AI responsibility in adverse events?
a. High transparency
b. Ambiguous accountability
c. Fast computation
d. Efficient memory use
Answer: b. Ambiguous accountabilitydistancediary+1
Why is explainable AI needed in medical applications?
a. To impress patients
b. To clarify diagnosis and build trust
c. To reduce hardware costs
d. To shorten consultation times
Answer: b. To clarify diagnosis and build trustgeeksforgeeks
An example of unethical AI deployment is:
a. Data anonymization
b. Biased predictive policing algorithms
c. Open sourcing training data
d. Using federated learning methods
Answer: b. Biased predictive policing algorithmsgeeksforgeeks
AI systems trained on historical data can perpetuate:
a. Neutral output
b. Societal and cultural biases
c. Non-linear optimization
d. Standardization
Answer: b. Societal and cultural biaseslearncbse+1
GDPR in the context of AI focuses on:
a. Efficiency
b. Data protection and user consent
c. Hardware compatibility
d. Neural network optimizations
Answer: b. Data protection and user consentdistancediary
Which risk is associated with the “black box” nature of many AI systems?
a. Enhanced performance
b. Difficulty in tracing decision origins
c. Improved cost-efficiency
d. Compatability
Answer: b. Difficulty in tracing decision originsdistancediary+1
What can prevent AI from making discriminatory decisions?
a. Ignoring fairness
b. Fairness-aware algorithms
c. Reducing data diversity
d. Increasing data volume only
Answer: b. Fairness-aware algorithmsgeeksforgeeks
How can data security in AI be improved?
a. Using more training data
b. Implementing robust encryption and access controls
c. Reducing audit trails
d. Limiting transparency
Answer: b. Implementing robust encryption and access controlsgeeksforgeeks
Which AI risk relates to unintended negative impact due to ignorance of cultural context?
a. Data compression
b. Cultural insensitivity
c. Enhanced explainability
d. Bias mitigation
Answer: b. Cultural insensitivitygeeksforgeeks
What is a direct ethical consequence of poor dataset diversity in AI?
a. Improved processing speed
b. Biased and unfair outcomes
c. Hardware compatibility
d. Redundant AI algorithms
Answer: b. Biased and unfair outcomeslearncbse+1
Which aspect is NOT a core worry about AI ethics?
a. Fairness
b. Privacy
c. Algorithm speed
d. Transparency
Answer: c. Algorithm speedlearncbse+1
The primary reason to anonymize personal data in AI training is:
a. Improve training speed
b. Protect individual privacy
c. Reduce dataset size
d. Increase processing power
Answer: b. Protect individual privacydistancediary+1
What role does human oversight play in AI ethics?
a. Ensures compliance and reduces harm
b. Increases bias
c. Raises computational demands
d. Reduces transparency
Answer: a. Ensures compliance and reduces harmgeeksforgeeks
One limitation of AI in ethical decision-making is:
a. Emotional intelligence limitations
b. Faster decision speed
c. Increased explainability
d. Greater accountability
Answer: a. Emotional intelligence limitationsgeeksforgeeks
Why is it important to assess the social impact of AI deployment?
a. To maximize automation
b. To address possible ethical and societal harms
c. To improve neural network speeds
d. To reduce data storage
Answer: b. To address possible ethical and societal harmsgeeksforgeeks

Blog

Systemethic Technologies

Leave a Reply Cancel reply

Useful links

Other Terms & Policies

Contact Info