Computational Thinking and Ethics Quiz - CBSE Class 12 Computer Science
Free practice quiz: Computational Thinking and Ethics (CBSE Class 12 Computer Science). 12 multiple-choice questions with answers and explanations. Play online, no sign-up needed.
Play all 12 questions freeSample questions
Which of the following is NOT a core principle of computational thinking?
- Decomposition
- Pattern Recognition
- Abstraction
- Randomization
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Answer: D. Randomization
Randomization is a technique used in programming, but it's not a core principle of computational thinking. Decomposition, pattern recognition, and abstraction are fundamental aspects.
Explain the ethical implications of using AI in decision-making processes.
- AI is always ethical
- AI is never ethical
- AI's ethical implications depend on its design, implementation and use. Bias in data can lead to unfair or discriminatory outcomes
- AI's ethical implications are not relevant to decision making
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Answer: C. AI's ethical implications depend on its design, implementation and use. Bias in data can lead to unfair or discriminatory outcomes
The ethics of AI are complex and depend heavily on how it is built and used. Bias in data or algorithms can result in unfair or discriminatory outcomes.
Discuss the concept of algorithmic accountability and its importance in ensuring ethical AI.
- Algorithmic accountability is unimportant
- It is not possible to ensure accountability
- It means holding developers and users accountable for the consequences of AI systems, promoting transparency and fairness
- It is a concept that is not yet defined
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Answer: C. It means holding developers and users accountable for the consequences of AI systems, promoting transparency and fairness
Algorithmic accountability is crucial for ensuring that AI systems are used ethically and responsibly.
Evaluate the potential impact of AI on employment and the economy, discussing both positive and negative aspects and potential mitigation strategies.
- AI will only have positive impacts
- AI will only have negative impacts
- AI may lead to job displacement in certain sectors but can also create new opportunities; reskilling and upskilling are crucial
- AI has no impact on employment
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Answer: C. AI may lead to job displacement in certain sectors but can also create new opportunities; reskilling and upskilling are crucial
AI's economic impact is complex, requiring proactive strategies to address potential job displacement and create new opportunities.
Discuss the challenges and opportunities related to the regulation of AI, considering its global nature and rapid evolution.
- AI regulation is unnecessary
- AI regulation is impossible
- Global cooperation and adaptable regulatory frameworks are needed to address the challenges and opportunities posed by AI's rapid evolution
- AI regulation is only needed in specific countries
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Answer: C. Global cooperation and adaptable regulatory frameworks are needed to address the challenges and opportunities posed by AI's rapid evolution
Regulating AI requires international collaboration and frameworks that can adapt to the technology's rapid advancement.