Page 351 - Ai_417_V3.0_C9_Flipbook
P. 351
B. Fill in the blanks.
1. An AI-generated image is created using AI ………………………..
2. The misuse of AI to access or generate personal data poses significant risks to individual's ………………………. and
………………………. .
3. A ………………………. dataset is the information, which is tagged with identifiers of data.
4. In ………………………. modelling there is no labelled dataset.
5. Gen AI is gaining popularity due to the fact that people can use ………………………. to prompt AI.
6. ………………………. models are typically trained using supervised, unsupervised, or reinforcement learning techniques.
7. If generative AI is trained on biased or incomplete data, the output may be similarly ………………………..
8. ………………………. is a platform for creating, training, and deploying generative models.
9. ………………………. is a web-based tool where you can make and change pictures using advanced AI technology called
Generative Adversatial Networks (GANs).
10. ………………………. is a generative multimodal AI model created by Google.
C. State whether these statements are true or false.
1. Generative AI is trained with new data and content. ……….……
2. In a text generation model, a prompt could be a sentence or a few keywords. ……….……
3. The output generated by generative AI often achieves a level of quality indistinguishable from
human creation. ……….……
4. Generative AI can produce content even better than humans. ……….……
5. GNNs work by compressing the data into a lower-dimensional form (encoding) and then
decompressing it back to its original form (decoding). ……….……
6. “The Next Rembrandt Project used in data analysis” is an example of Generative AI in music. ……….……
7 The discriminator in GANs helps to distinguish between real and generated data. ……….……
8. Misinformation created by generative AI does not have any serious social impacts. ……….……
9. Generative AI tools are not capable of personalising content for individual users. ……….……
10. Privacy concerns in generative AI include the risk of generating sensitive personal information. ……….……
SECTION B (Subjective Type Questions)
A. Short answer type questions:
1. How can you tell if an image is real or AI?
Ans. Artificial intelligence shows inconsistencies if observed closely, although it tries to piece together its creations from
the original work. Odd outlines to sharpen or smoothen the edges, stray pixels to cover inconsistency, and abnormal
shapes can be easily seen, if an image is zoomed to the maximum, on each of its parts.
2. What are the environmental impacts of generative AI?
Ans. ● Training and running large AI models require significant computational resources, contributing to high energy
consumption and environmental impact.
● Many devices are being exchanged due to outdated hardware leading to increase in e-waste.
Introduction to Generative AI 349

