Narrow AI and its Limitations
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Narrow AI and its Limitations

Created by
@GorgeousCanto

Questions and Answers

What is the primary characteristic of Narrow AI?

  • Ability to perform a dedicated task with intelligence (correct)
  • Ability to learn from experience
  • Ability to perform multiple tasks
  • Ability to adapt to new situations
  • What happens when Narrow AI goes beyond its limits?

  • It fails in unpredictable ways (correct)
  • It becomes more accurate
  • It learns new skills
  • It becomes more efficient
  • What is an example of Narrow AI in action?

  • A computer program that can create art
  • A self-driving car that can navigate through a city (correct)
  • A personal assistant that can understand natural language
  • A robot that can assemble complex machines
  • What is the current status of Narrow AI in the world of Artificial Intelligence?

    <p>It is the most common and currently available AI</p> Signup and view all the answers

    Which of the following is NOT a characteristic of Narrow AI?

    <p>Ability to perform beyond its limitations</p> Signup and view all the answers

    Study Notes

    Weak AI or Narrow AI

    • Narrow AI refers to a type of Artificial Intelligence that specializes in performing a single dedicated task with intelligence.
    • It is the most common and widely available form of AI in the world of Artificial Intelligence.
    • Narrow AI has limitations, as it is only trained for one specific task and cannot perform beyond its field.
    • If Narrow AI goes beyond its limits, it can fail in unpredictable ways.
    • Examples of Narrow AI applications include:
      • Language translation tools, such as Google Translate
      • Playing strategic games, like chess
      • Providing purchasing suggestions on e-commerce websites
      • Autonomous vehicles, or self-driving cars
      • Speech recognition systems
      • Image recognition technologies

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    Description

    This quiz covers the basics of Narrow AI, its capabilities, and limitations. Learn about the differences between Weak AI and Narrow AI and how it is applied in various fields.

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