MCQs

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Overall MCQs for Reference

What is a major ethical concern associated with Generative AI?
a. High energy consumption
b. Job automation
c. Creation of deepfakes and misinformation
d. Limited data availability
Answer: c. Creation of deepfakes and misinformationgyansetu+1
Which principle calls for AI systems to be understandable and their decision-making transparent?
a. Interpretability
b. Security
c. Lawfulness
d. Privacy
Answer: a. Interpretabilitypwc+1
Generative AI models must avoid reinforcing which of the following in their outputs?
a. Positive feedback
b. Human oversight
c. Biases from training data
d. Efficiency
Answer: c. Biases from training dataresearch.aimultiple+1
In the context of ethical AI, who should remain accountable for AI-generated works?
a. The AI system itself
b. Researchers or responsible humans
c. Data providers
d. AI programmers only
Answer: b. Researchers or responsible humansresearch.aimultiple
What is an example of privacy risk in Generative AI applications?
a. Training on anonymized data
b. Sharing of sensitive personal data
c. Model efficiency improvement
d. Open-source tool use
Answer: b. Sharing of sensitive personal datadatacamp+1
To promote responsible use, companies should prioritize using which type of data for training AI?
a. Third-party data
b. Unpublished data
c. First-party or zero-party data
d. Randomly collected data
Answer: c. First-party or zero-party dataresearch.aimultiple
What ethical principle emphasizes treating all individuals equally in AI outputs?
a. Impartiality
b. Security
c. Reliability
d. Robustness
Answer: a. Impartialityprolific+1
What can generative AI inadvertently create, increasing reputational risk for organizations?
a. Watermarked images
b. Copyright-free content
c. Deepfakes and cloned voices
d. Interactive dashboards
Answer: c. Deepfakes and cloned voicestechtarget+1
How can organizations build trust and ensure accountability in the use of generative AI?
a. Use closed-source tools
b. Disclose AI use transparently
c. Avoid public discussions
d. Limit model outputs
Answer: b. Disclose AI use transparentlyprolific+1
Which concept requires someone to be assigned responsibility for the ethical use or misuse of AI?
a. Collaboration
b. Robustness
c. Accountability
d. Interpretability
Answer: c. Accountabilitypwc+1
What is a best practice for reducing AI-generated biases in business?
a. Avoiding model updates
b. Never testing outputs
c. Testing outputs across demographics
d. Restricting model scope
Answer: c. Testing outputs across demographicslibguides.amherst+1
An ethical concern of using generative AI to create fake content is:
a. Data bias
b. Job displacement
c. Misinformation and deception
d. Organizational growth
Answer: c. Misinformation and deceptionlearncbse
What practice can reduce copyright infringement risks in generative AI?
a. Not citing sources
b. Training only on proprietary data
c. Respecting intellectual property rights
d. Sharing model outputs freely
Answer: c. Respecting intellectual property rightsdatacamp+1
Which is an important principle for privacy in AI?
a. Collection without consent
b. No redress opportunity
c. Protection and informed consent
d. Full data publication
Answer: c. Protection and informed consenttechtarget+1
What is a recognized environmental ethical issue in generative AI deployment?
a. Increased accuracy
b. Lower energy usage
c. High energy consumption
d. Data diversity
Answer: c. High energy consumptiontechtarget
Which ethical guideline advocates for continuous human involvement in high-stakes AI decisions?
a. Human agency
b. Automation
c. Scalability
d. Lawfulness
Answer: a. Human agencypwc
What policy can help organizations respond to generative AI risks early?
a. Anonymous feedback mechanisms
b. Data silos
c. Required model sharing
d. Restrictive licensing
Answer: a. Anonymous feedback mechanismsresearch.aimultiple
What is the main risk of bypassing transparency in AI-generated content?
a. Increased creativity
b. Loss of public trust
c. Faster development
d. Higher accuracy
Answer: b. Loss of public trustprolific+1
Which issue may arise if companies ignore fairness in generative AI?
a. Model interpretability
b. Data diversity
c. Discrimination and bias
d. Higher security
Answer: c. Discrimination and biastranscend+1
What method helps ensure reliability in generative AI systems?
a. Random decision-making
b. Ignoring errors
c. Robust testing and repeatability
d. Model isolation
Answer: c. Robust testing and repeatabilitypwc
Which ethical principle ensures compliance with legal standards for AI systems?
a. Lawfulness
b. Security
c. Interpretability
d. Beneficiality
Answer: a. Lawfulnessunesco+1
Why is continuous monitoring important in generative AI ethics?
a. Reduces model bias
b. Increases system error
c. Limits model outputs
d. Stabilizes energy use
Answer: a. Reduces model biaseweek+1
What can be a consequence of generative AI generating politically sensitive content?
a. Model interpretability
b. Political impact and misinformation
c. Improved privacy
d. Faster algorithms
Answer: b. Political impact and misinformationtechtarget
Which ethical standard relates to enhancing social benefit and cooperation in generative AI?
a. Beneficiality
b. Efficiency
c. Randomized learning
d. Interpretability
Answer: a. Beneficialitypwc
Proper education and training in generative AI ethics aims to:
a. Promote blind trust in AI
b. Help users verify outputs and maintain integrity
c. Limit model scalability
d. Ignore privacy laws
Answer: b. Help users verify outputs and maintain integrityresearch.aimultiple
Using watermarks on AI-generated content mainly supports what ethical principle?
a. Privacy
b. Transparency
c. Fairness
d. Security
Answer: b. Transparencyprolific+1
Generative AI can result in employment risks, particularly:
a. Only for programmers
b. Due to workforce displacement
c. In manual labor sectors only
d. When used for entertainment
Answer: b. Due to workforce displacementlibguides.amherst+1
What is an ethical challenge of generative AI regarding content creation?
a. Copyright infringement
b. Enhanced education
c. Improved security
d. Reduced collaboration
Answer: a. Copyright infringementdatacamp+2
Why is explainability critical in generative AI applications?
a. Prevents deepfake generation
b. Ensures users can contest AI decisions
c. Increases model complexity
d. Reduces computation cost
Answer: b. Ensures users can contest AI decisionstranscend+1
Not providing redress mechanisms for AI decisions raises concerns about:
a. Security
b. Accountability
c. Transparency
d. Privacy protection
Answer: d. Privacy protectiontranscend+1
Which ethical risk is heightened by AI’s potential to generate large volumes of realistic but false data?
a. Beneficiality
b. Bias
c. Misinformation
d. Reliability
Answer: c. Misinformationdatacamp+1
To comply with ethical standards, generative AI models should be:
a. Opaque
b. Black-box operated
c. Transparent and auditable
d. Rapidly deployed
Answer: c. Transparent and auditableprolific+1
How should organizations address limitations of generative AI systems?
a. Understate potential risks
b. Disclose limitations openly
c. Hide model capabilities
d. Focus only on benefits
Answer: b. Disclose limitations openlyresearch.aimultiple+1
Which principle stresses the need for AI models to operate within recognized human rights frameworks?
a. Interpretability
b. Lawfulness
c. Human rights approach
d. Robustness
Answer: c. Human rights approachunesco+1
Ethical use of AI requires what regarding personal data collection?
a. Unlimited data use
b. Informed consent and privacy
c. Data secrecy
d. No user notification
Answer: b. Informed consent and privacytranscend+2
Why must organizations monitor generative AI for explicit or violent language?
a. To reduce environmental impact
b. To avoid legal, reputational, and ethical risks
c. To improve energy efficiency
d. To increase creativity
Answer: b. To avoid legal, reputational, and ethical risksdatacamp+1
What categorizes ethical decision-making in AI as dynamic?
a. One-time setup
b. Static regulations
c. Ongoing stakeholder dialogue
d. Lack of accountability
Answer: c. Ongoing stakeholder dialogueunesco+1
Using generative AI in healthcare should involve:
a. Full automation
b. Doctors as sole decision-makers
c. Human-AI collaboration and oversight
d. Only AI-powered diagnostics
Answer: c. Human-AI collaboration and oversightresearch.aimultiple
Which principle directly relates to the protection against cyber threats in AI systems?
a. Security
b. Privacy
c. Accountability
d. Beneficiality
Answer: a. Securitytechtarget+1
What is a primary benefit of integrating ethical frameworks in generative AI?
a. Reduces compliance costs
b. Benefits society as a whole
c. Limits innovation
d. Enhances randomness
Answer: b. Benefits society as a wholeibm+1
Generative AI should avoid misrepresenting which groups?
a. Programming communities
b. Minority and marginalized groups
c. Corporate workers
d. Model owners
Answer: b. Minority and marginalized groupslibguides.amherst+1
An ethical generative AI deployment should include:
a. Limited feedback channels
b. Encouragement of user feedback
c. Feedback censorship
d. Only automated error correction
Answer: b. Encouragement of user feedbackresearch.aimultiple
Which principle ensures AI-generated content does not pose physical or mental threats?
a. Safety
b. Lawfulness
c. Reliability
d. Sustainability
Answer: a. Safetyeweek+1
Organizations must assess environmental impact of generative AI to support:
a. Enhanced privacy
b. Sustainability goals
c. Data accuracy
d. Increased user engagement
Answer: b. Sustainability goalstechtarget+1
The principle of explainability in AI means:
a. Hiding decision processes
b. Explaining decisions to stakeholders
c. Using complex language
d. Avoiding technical details
Answer: b. Explaining decisions to stakeholderstranscend+1
What is the purpose of continual audits in generative AI use?
a. Generate more data
b. Ensure accuracy and security
c. Avoid user feedback
d. Maximize energy consumption
Answer: b. Ensure accuracy and securityeweek+1
Which ethical concern arises with sharing AI-generated research results?
a. Risk of bias propagation
b. Enhanced transparency only
c. Improved funding
d. More rapid publication
Answer: a. Risk of bias propagationresearch.aimultiple
Properly cited generative AI content avoids which legal risk?
a. Data redundancy
b. Copyright infringement
c. Model complexity
d. Increased cost
Answer: b. Copyright infringementdatacamp+2
Who should contribute to organizational AI ethics policy?
a. Only senior leadership
b. Only IT department
c. All relevant stakeholders and experts
d. External auditors only
Answer: c. All relevant stakeholders and expertsunesco+1
What can help organizations adapt to changing ethical landscapes in AI?
a. Static policies
b. Responsive feedback systems and ongoing dialogue
c. Ignoring public concerns
d. Minimizing updates
Answer: b. Responsive feedback systems and ongoing dialogueunesco+1

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