How AI Spots Patterns Faster Than You Can Blink

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-foundations-AI-and-pattern-spotting-r7a5

1. What is AI really good at doing?

   1. Reading people's minds
   2. Finding patterns in lots of pictures, words, or numbers
   3. Playing video games better than humans
   4. Making up new pictures that never existed

2. If you show an AI thousands of pictures of dogs, what will it learn to do?

   1. Teach the dogs new tricks
   2. Give each dog a unique name
   3. Spot which features make a dog look like a dog
   4. Draw brand new dogs from memory

3. An app that can name a song after hearing just five seconds is using AI to:

   1. Make the song play louder
   2. Create a brand new song
   3. Change the lyrics of the song
   4. Match the sound pattern to songs it has heard before

4. When an AI draws a box around every face in a class photo, it is using its pattern-spotting ability to:

   1. Add funny hats to each person
   2. Count how many people are in the photo
   3. Make the photo black and white
   4. Find faces by recognizing facial features

5. Your tablet guessing the next word as you type a story shows AI:

   1. Reading your mind about the story
   2. Knowing which words often follow other words
   3. Making up random words
   4. Correcting your spelling mistakes

6. Why does the lesson say AI does not really 'see' the way you do?

   1. AI closes its eyes when working
   2. AI only sees numbers and data, not images like you do
   3. AI sees better than humans do
   4. AI has robot eyes that work differently

7. What does the 'try it' activity teach about how AI works?

   1. AI learns by describing features very precisely
   2. AI learns by guessing randomly
   3. AI learns by looking at colors only
   4. AI does not need any examples

8. Which of these is an example of AI finding patterns?

   1. A chair that you sit on to rest
   2. A notebook that stores your homework
   3. A camera that puts boxes around every face in a photo
   4. A flashlight that lights up when you press a button

9. If you wanted an AI to recognize apples, you would need to show it:

   1. Only one picture of an apple
   2. A picture of a banana
   3. Many pictures of different apples
   4. A picture of a car

10. What would happen if you tried to teach an AI to recognize dogs but only showed it one dog picture?

    1. The AI would immediately become an expert
    2. The AI might think all dogs look exactly like that one picture
    3. The AI would teach itself to bark
    4. The AI would learn nothing and give up

11. A photo app that automatically sorts pictures into 'beach,' 'pets,' and 'food' must have learned to recognize:

    1. How to delete bad photos
    2. Different patterns that represent each category
    3. How to take better photos
    4. How to send photos to friends

12. The words 'patterns,' 'data,' and 'recognition' are important for understanding AI because:

    1. AI finds patterns in data through recognition
    2. Patterns confuse AI instead of helping it
    3. Recognition only happens in humans
    4. Data is not important for AI

13. If you described a blue cup, a blue shirt, and a blue pen to help an AI understand 'blue,' you would focus on:

    1. Who owns each item
    2. What these objects have in common that makes them all blue
    3. How expensive each item is
    4. What these items are used for

14. Why might an AI make a mistake when looking at a photo of a cat wearing a dog costume?

    1. The AI would instantly know it's a cat
    2. The AI can never make mistakes
    3. The AI would ignore the costume completely
    4. The AI might be confused by the mixed-up patterns

15. What is the main thing AI needs to become good at pattern spotting?

    1. A human to tell it every answer
    2. A special robot body
    3. A very small amount of data
    4. Many examples to learn from