Practice Use Case: Image Generation, Deepfakes, Data Augmentation (5.1)

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8 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What are GANs primarily used for?
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Think about what 'generative' means.
Question 2.
What are the two components of a GAN?
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One creates, the other evaluates.
3Question 3.
What are the key components of a GAN?
- Generator and Decoder
- Generator and Discriminator
- Encoder and Discriminator
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Remember their roles in the GAN framework.
4Question 4.
True or False: GANs can be used to generate deepfakes.
- True
- False
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Think about recent news stories involving AI-generated content.
Question 5.
Evaluate the potential impact of GANs on privacy rights in media. How might they affect public trust?
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Consider the implications of public figures being depicted in fake scenarios.
Question 6.
Design a curriculum module that educates students on the ethical implications of GAN technology.
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Incorporate interactive discussions and current events to engage students.

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