Narrow AI vs General AI: What's the Difference?

End-of-lesson check

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

1. An AI that can beat any human at chess but cannot make a simple sandwich is an example of what type of AI?

   1. A robot that can do any job
   2. An AI that has learned everything
   3. A general AI that thinks like a human
   4. A narrow AI that specializes in one task

2. Why do scientists say most AI today is 'narrow'?

   1. Because AI cannot think at all
   2. Because AI only works in small countries
   3. Because each AI is built to be great at just one thing
   4. Because AI programs are very short

3. Which of these best describes a 'general' AI?

   1. An AI that helps you search the internet
   2. An AI that is really good at playing video games
   3. An AI that can learn to do any task a human can do
   4. An AI that controls a smart thermostat

4. If you asked a music-making AI to tell you a joke, what would probably happen?

   1. It would tell you a funny joke
   2. It would write a song about jokes
   3. It would pretend not to hear you
   4. It would fail or give a strange answer

5. Why does a self-driving car AI need help with your homework?

   1. The car AI doesn't like homework
   2. The car AI is too busy driving
   3. The car AI is a narrow AI that only knows how to drive
   4. The car AI is not smart enough to learn

6. What would an AI need to be considered 'general' instead of 'narrow'?

   1. It would need to cost less money
   2. It would need to be able to do many different kinds of tasks
   3. It would need to be on your phone
   4. It would need to be really fast

7. Which of these AI tools is most likely narrow AI?

   1. An AI that learns new skills on its own
   2. An AI that can translate languages, write stories, and solve math problems
   3. An AI that can have a conversation about any topic
   4. An AI that only finds and tags faces in your photos

8. What does it mean when scientists say general AI is still a 'dream'?

   1. General AI only works in countries with good schools
   2. Scientists are sleeping on the job
   3. General AI is a bad idea no one wants
   4. General AI is something they hope to create someday but haven't yet

9. A photo-tagging AI that can find cats in pictures but can't write a poem is an example of:

   1. A general AI that is still learning
   2. An AI that is broken and needs fixing
   3. A narrow AI with limited scope
   4. A super smart AI that knows everything

10. Why can't you use a chess-playing AI to help you with science class?

    1. The chess AI doesn't like science
    2. The chess AI would get in trouble
    3. Science class is too hard for any AI
    4. Chess AI only knows about chess moves and strategy

11. If someone says 'most AI today is narrow,' what are they saying about AI?

    1. Most AI is made by small companies
    2. Most AI is used in narrow places
    3. Most AI is not very good at anything
    4. Most AI can only do one type of thing really well

12. What is the 'scope' of an AI?

    1. The age of the AI program
    2. How much money was spent building the AI
    3. The number of different tasks the AI can handle
    4. How big the computer is that runs the AI

13. You want an AI that can play chess, tell jokes, and help with homework. What kind of AI would you need?

    1. A chess-only AI
    2. A photo-tagging AI
    3. A very fast narrow AI
    4. A general AI that can handle many tasks

14. Why is a narrow AI 'clueless' at tasks outside its job?

    1. It was never taught or designed to do those other tasks
    2. It is not allowed to do other tasks
    3. It chooses not to try other tasks
    4. It is too lazy to learn

15. Which statement about AI today is true?

    1. All AI can drive cars
    2. All AI can do almost anything humans can do
    3. Most AI is narrow and specializes in one thing
    4. No AI exists anymore