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Class 9 Generative AI and Ethics: cheat sheet
CBSE Computational Thinking and AI. Generative AI creates new text, images, sound, video and code from prompts. It is powerful but can be wrong or unfair, so it must be used responsibly.
Key ideas
- Generative AI creates new content; conventional AI classifies or predicts, such as sorting spam or forecasting temperature.
- A prompt is the instruction given to a generative tool; clearer prompts give more useful results.
- Generative AI can hallucinate: it may give confident answers that are false, so check facts in a trusted source.
- It may repeat biases in its training data and may not know about recent events.
- Deepfakes are realistic fake audio, images or video of a person; a watermark can show content was made by AI.
- Use it honestly: say when AI helped, protect privacy and keep people accountable for what is published.
Remember
| Kinds of generative AI | text, image, audio, video and code generation |
| Hallucination | a confident but false or made-up output |
| Transparency | being open that AI was used and how it decides |
| Accountability | people stay responsible for what AI produces |
| Share in training data | group count ÷ total × 100%: a small share can lead to biased output |
Watch out
- Calling every AI tool generative: a spam filter only classifies.
- Trusting a fluent answer without checking it.
- Handing in AI-made work as your own without saying so.
Worked example
Is each task for generative or conventional AI? (a) predicting tomorrow’s temperature (b) composing a new tune
Working: generative AI creates new content; conventional AI classifies or predicts
Answer: (a) conventional; (b) generative
Practise Generative AI and Ethics
Revise with this page, then practise: every Generative AI and Ethics sheet in the app is new, with an answer key and working.
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