Generative AI Class 9 Questions and Answers are designed to help students understand the concepts of Generative Artificial Intelligence and its real-world applications. This chapter introduces students to AI systems that can create new content such as text, images, audio, videos, and code. These questions and answers cover important topics, including Generative AI tools, benefits, limitations, ethical considerations, and responsible use of AI. Based on the latest CBSE Artificial Intelligence (417) syllabus, this study material will help students prepare effectively for examinations and assignments.
Generative AI Class 9 Questions and Answers
1 What is generative AI?
Answer: Generative artificial intelligence is also known as generative AI. Generative AI is a type of AI that helps to create new content such as images, videos, music, and text. Generative AI can take input from the user in the form of text, images, audio, or video and generate new content based on the input given by the users.
2. Give a few examples of generative AI.
Answer: A few examples of generative AI are ChatGPT, DALL-E, GitHub Copilot, AIVA, etc.
3. What do you know about deepfakes?
Answer: “Deepfake” means when the AI generates fake videos or images that look real. Example: A video showing a person saying something they never actually said.
4. What’s the difference between generative AI and conventional AI?
Answer: The differences between generative AI vs. conventional AI are
| Feature | Generative AI | Conventional AI |
|---|---|---|
| Purpose | Creates new content | Analyzes or predicts |
| Output | Text, images, music, code | Labels, decisions, numbers |
| Example | DALL‑E creates artwork | Spam filters detect emails |
5. What are the different types of generative AI?
Answer: There are multiple types of generative AI—
- GANs (Generative Adversarial Networks): create realistic images/videos.
- VAEs (Variational Autoencoders): generate new data similar to training data.
- Transformers: generate text (e.g., ChatGPT).
- Diffusion Models: generate detailed images (e.g., Stable Diffusion).
6. What are the negative impacts on society of using generative AI?
Answer: The negative impacts on society of using generative AI are
- Generative AI can be used to create fake news or deepfakes that can spread misinformation and manipulate public opinion.
- Lead to job displacement for humans who previously performed these tasks.
- Generative AI has the potential to generate sensitive personal information, such as social security numbers or medical records, which could be used for malicious purposes.
7. How about responsible use of generative AI?
Answer:
- Ensuring that the training data used are diverse and representative.
- The outputs are scrutinized for bias and misinformation.
- Prioritizing user privacy and consent,
- Having clear guidelines around ownership and attribution of generative content.
- Engaging in public discussions around the social and ethical implications of this technology to ensure that it is developed and used in ways that are beneficial to society.
8. What do you understand about generative artificial intelligence? Give any two examples.
Answer: The AI that learns patterns from data and then generates new output like text, images, audio, video, or code is known as generative AI. For example, ChatGPT used to generate text like a human, and DALL-E used to create images from text prompts.
9. Write any two AI tools each for the following:
- Generative AI image generation tools
- Generative AI text generation tools
- Generative AI audio generation tools
Answer:
- Generative AI image generation tools: DALL-E and Midjourney, which help to create pictures and art from text prompts.
- Generative AI text generation tools: ChatGPT and Copilot are used to write, store, and summarize the text.
- Generative AI audio generation tools: Murf AI and AIVA are used to create voiceovers or compose music.
10. Give full forms of the following:
- GANs
- VAEs
- RNNs
Answer:
- GANs – Generative Adversarial Networks
- VAEs – Variational Autoencoders
- RNNs – Recurrent Neural Networks
11. How Generative AI can be helpful in the following fields—
- Architecture
- Coding
- Music
- Content Creation
Answer:
- Architecture: It helps to create design ideas and 3D models. For example, AI generates building layouts.
- Coding: It helps to suggest code and fixes errors. For example, GitHub Copilot helps programmers
- Music: It helps to compose new tunes. For example, AIVA creates background music.
- Content Creation: It helps to write blogs, ads, and scripts. For example, ChatGPT drafts articles.
12. Sakshi has been assigned a homework essay on the topic, “The Impact of Climate Change on Coral Reefs.” The essay requires Sakshi to research and explain various aspects of climate change, such as ocean acidification and rising sea temperatures, and their effects on coral reef ecosystems. His friend suggested using some text generation tool. List some guidelines for Sakshi to prevent misuse of generative AI and use it constructively.
Answer: Guidelines for Sakshi to Use Generative AI Constructively are
- Do not copy-paste text directly from AI; always rewrite in your own words.
- AI can make mistakes, so verify with a trusted website or book.
- Add your personal thinking, and include your own examples and feelings in the text.
- AI can help in structure, grammar, or brainstorming, but keep your ideas in the text.
- If AI is given data, then mention where it comes from.
13. How do you think generative AI can revolutionize the creative industry, such as art and fashion, by enabling the generation of unique and innovative designs?
Answer: AI can generate unique art patterns. In fashion, AI can mix styles and colors to create new clothing designs. It helps the artists and designers to experiment faster and explore more ideas. For example, AI can generate futuristic dress designs.
14. Considering the ethical challenges associated with generative AI, what are your thoughts on establishing guidelines or regulations to ensure responsible use of these technologies? How can we balance the potential benefits and risks?
Answer: There are some ethical challenges like
- AI can generate plagiarism, fake content, bias, and misuse.
- Always stay transparent when AI is used.
- Avoid biased or harmful output.
- Prevents misuse for scams or misinformation.
- Protect society from risks with clear regulations.
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