Spotting AI-Generated Faces

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-ethics-safety-fake-faces

1. What is the core idea behind "Spotting AI-Generated Faces"?

   1. AI now makes photorealistic faces of people who don't exist.
   2. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
   3. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
   4. Generate heir-revocation flow diagrams with required identity verification.

2. Which term best describes a foundational idea in "Spotting AI-Generated Faces"?

   1. GAN
   2. StyleGAN
   3. synthetic media
   4. asymmetry

3. A learner studying Spotting AI-Generated Faces would need to understand which concept?

   1. StyleGAN
   2. synthetic media
   3. GAN
   4. asymmetry

4. Which of these is directly relevant to Spotting AI-Generated Faces?

   1. StyleGAN
   2. GAN
   3. asymmetry
   4. synthetic media

5. Which of the following is a key point about Spotting AI-Generated Faces?

   1. Fake social media profiles
   2. Fake LinkedIn accounts for scams
   3. Fake testimonials on websites
   4. AI-detection tools have a 4-9% false positive rate — meaning honest students get…

6. What is the key insight about "Three tells of an AI face" in the context of Spotting AI-Generated Faces?

   1. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
   2. Asymmetric earrings, garbled background text, slightly mismatched eyes, weird teeth, or jewelry that doesn't quite line …
   3. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
   4. Generate heir-revocation flow diagrams with required identity verification.

7. What is the key insight about "Review date" in the context of Spotting AI-Generated Faces?

   1. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
   2. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
   3. Reviewed in 2026. Treat fast-changing product names, prices, availability, and policy details as examples to verify befo…
   4. Generate heir-revocation flow diagrams with required identity verification.

8. Which statement accurately describes an aspect of Spotting AI-Generated Faces?

   1. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
   2. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
   3. Generate heir-revocation flow diagrams with required identity verification.
   4. AI now makes photorealistic faces of people who don't exist. Knowing the tells helps you spot fakes online.

9. What does working with Spotting AI-Generated Faces typically involve?

   1. Sites like ThisPersonDoesNotExist.com generate convincing fake faces in seconds.
   2. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
   3. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
   4. Generate heir-revocation flow diagrams with required identity verification.

10. Which of the following is true about Spotting AI-Generated Faces?

    1. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
    2. The big idea: AI faces are getting harder to spot — but right now small details still give them away.
    3. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
    4. Generate heir-revocation flow diagrams with required identity verification.

11. Which best describes the scope of "Spotting AI-Generated Faces"?

    1. It is unrelated to ethics-safety workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on AI now makes photorealistic faces of people who don't exist.
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about Spotting AI-Generated Faces?

    1. AI-detection tools have a 4-9% false positive rate — meaning honest students get…
    2. Track state AI laws affecting our operations (Colorado AI Act, NYC bias audit, C…
    3. Generate heir-revocation flow diagrams with required identity verification.
    4. Three places fake faces show up

13. Which of the following is a concept covered in Spotting AI-Generated Faces?

    1. StyleGAN
    2. GAN
    3. synthetic media
    4. asymmetry

14. Which of the following is a concept covered in Spotting AI-Generated Faces?

    1. StyleGAN
    2. GAN
    3. synthetic media
    4. asymmetry

15. Which of the following is a concept covered in Spotting AI-Generated Faces?

    1. StyleGAN
    2. GAN
    3. synthetic media
    4. asymmetry