Amity International School Sector-1 Vasundhara 1
Topic : Generative AI
Class 9-
MCQ Worksheet- 1
1. What does Generative AI refer to?
a) AI that processes only numbers
b) AI that generates new content resembling human-generated content
c) AI that analyzes data without producing output
d) AI that is used only for gaming
2. Which of the following is an example of Generative AI?
a) Microsoft Excel
b) Face recognition system
c) Deepfake video creation
d) Data mining software
3. What kind of content can Generative AI produce?
a) Only text
b) Only images
c) Text, audio, images, and video
d) Only audio
4. Which type of model is commonly used in Generative AI for creating
realistic images?
a) Decision Trees
b) Generative Adversarial Networks (GANs)
c) Regression Models
d) Support Vector Machines
5. What is a deepfake?
a) A realistic video created using Generative AI to depict something fake
b) A computer virus that steals data
c) A type of malware used in hacking
d) A natural video of real events
6. What is the primary application of GANs in Generative AI?
a) Data analysis
b) Speech recognition
c) Image and video generation
d) Data encryption
7. What is one of the major concerns with Generative AI technology?
a) Faster data processing
b) Increased bias in generated data
c) Better user experiences
d) Higher accuracy in decision-making
8. Which of the following is a hands-on activity related to Generative AI?
a) Playing video games
b) Guessing real vs. AI-generated images
c) Filling out spreadsheets
d) Performing internet searches
9. What is one of the potential negative impacts of Generative AI on
society?
a) Reduction in creative tasks
b) Job creation in creative industries
c) Spread of misinformation
d) Increased transparency
10. Which of the following tools allows users to generate images with text
prompts?
a) GAN Paint
b) Microsoft Word
c) Excel
d) Google Sheets
11. Why is ethical consideration important in Generative AI?
a) To enhance AI performance
b) To ensure outputs are unbiased and used responsibly
c) To create better AI models
d) To speed up the training process
12. What kind of data is Generative AI trained on?
a) Newly created data
b) Existing data and content
c) Imaginary data
d) No data is used in training
13. What is one of the challenges with Generative AI in terms of privacy?
a) It cannot be used for personal data
b) It can generate sensitive personal information like credit card numbers
c) It has no impact on privacy
d) It always protects personal data
14. Which of these platforms is used for exploring AI Magic Tools in
Generative AI?
a) Facebook
b) Runway ML
c) Instagram
d) Twitter
15. What does "bias in AI" mean?
a) AI always gives accurate results
b) AI outputs that unfairly favor certain groups or ideas
c) AI is not affected by human input
d) AI works equally for everyone
16. How can Generative AI be misused?
a) For data analysis
b) For creating useful tutorials
c) For creating fake news and deepfakes
d) For creating new languages
17. What is an important ethical principle in developing Generative AI?
a) Ignoring bias in the training data
b) Ensuring privacy and consent are maintained
c) Using only AI-generated data
d) Prioritizing speed over accuracy
18. What are the neurons in GAN Paint used for?
a) To process audio files
b) To activate parts of the network for image generation
c) To store video data
d) To communicate between two computers
19. What should be considered when using AI-generated content in
society?
a) How fast the AI operates
b) The ethical and social implications of its use
c) The size of the AI model
d) The amount of data used for training
20. Which of the following is a key feature of responsible use of
Generative AI?
a) Prioritizing AI development over regulations
b) Scrutinizing outputs for misinformation and bias
c) Reducing public access to AI tools
d) Eliminating creativity from AI outputs
