Introduction to Artificial Intelligence - 6 | 6. Introduction to Artificial Intelligence | CBSE Class 12th AI (Artificial Intelligence)
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Types of AI Based on Capabilities

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Teacher
Teacher

Let’s discuss Narrow AI—your phone’s voice assistant is an example. Can anyone name others?

Student 1
Student 1

Google Translate?

Teacher
Teacher

Correct! It’s designed only for translation. Now, General AI would be like a robot that can cook, drive, *and* translate—but it doesn’t exist yet.

Student 2
Student 2

Is Super AI like sci-fi robots that rule humans?

Teacher
Teacher

That’s the fear! Super AI is purely theoretical but sparks debates about ethics.

Types of AI Based on Functionalities

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Teacher

Reactive Machines, like chess-playing AI, don’t learn. But Limited Memory AI, like Tesla’s cars, improves with data.

Student 3
Student 3

Will Theory of Mind AI understand my feelings?

Teacher
Teacher

That’s the goal! Researchers are working on AI that detects emotions—useful for mental health apps.

Ethical Implications

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Teacher

Should Super AI be developed if it risks human safety?

Student 4
Student 4

No! What if it makes decisions we can’t control?

Teacher
Teacher

Exactly. Ethical guidelines are crucial as AI evolves.

Introduction & Overview

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Quick Overview

This section explores the **types of Artificial Intelligence (AI)**, categorizing them based on capabilities and functionalities, along with real-world applications and ethical considerations. ### Medium Summary AI can be classified into **three types based on capabilities** (Narrow, General, Super AI) and **four types based on functionalities** (Reactive, Limited Memory, Theory of Mind, Self-aware). This section explains each type, their differences, and how they are applied in industries like healthcare, finance, and robotics. Ethical implications of advanced AI are also discussed. ### Detailed Summary # Types of Artificial Intelligence Artificial Intelligence is broadly categorized into **two frameworks**: 1. **Based on Capabilities** (What AI can do) 2. **Based on Functionalities** (How AI works) #### **1. Types of AI Based on Capabilities** - **Narrow AI (Weak AI)**: Task-specific AI (e.g., Siri, facial recognition). - **General AI (Strong AI)**: Hypothetical AI matching human intelligence. - **Super AI**: AI surpassing human cognition (theoretical). #### **2. Types of AI Based on Functionalities** - **Reactive Machines**: No memory; reacts to inputs (e.g., IBM’s Deep Blue). - **Limited Memory**: Learns from past data (e.g., self-driving cars). - **Theory of Mind**: Understands emotions (under research). - **Self-aware AI**: Conscious machines (hypothetical). **Applications**: - Narrow AI powers chatbots, recommendation systems. - Limited Memory AI is used in autonomous vehicles. **Ethical Debates**: - Super AI’s risks (e.g., loss of human control). - Bias in Narrow AI systems.

Standard

AI can be classified into three types based on capabilities (Narrow, General, Super AI) and four types based on functionalities (Reactive, Limited Memory, Theory of Mind, Self-aware). This section explains each type, their differences, and how they are applied in industries like healthcare, finance, and robotics. Ethical implications of advanced AI are also discussed.

Detailed Summary

Types of Artificial Intelligence

Artificial Intelligence is broadly categorized into two frameworks:
1. Based on Capabilities (What AI can do)
2. Based on Functionalities (How AI works)

1. Types of AI Based on Capabilities

  • Narrow AI (Weak AI): Task-specific AI (e.g., Siri, facial recognition).
  • General AI (Strong AI): Hypothetical AI matching human intelligence.
  • Super AI: AI surpassing human cognition (theoretical).

2. Types of AI Based on Functionalities

  • Reactive Machines: No memory; reacts to inputs (e.g., IBM’s Deep Blue).
  • Limited Memory: Learns from past data (e.g., self-driving cars).
  • Theory of Mind: Understands emotions (under research).
  • Self-aware AI: Conscious machines (hypothetical).

Applications:
- Narrow AI powers chatbots, recommendation systems.
- Limited Memory AI is used in autonomous vehicles.

Ethical Debates:
- Super AI’s risks (e.g., loss of human control).
- Bias in Narrow AI systems.

Detailed

Types of Artificial Intelligence

Artificial Intelligence is broadly categorized into two frameworks:
1. Based on Capabilities (What AI can do)
2. Based on Functionalities (How AI works)

1. Types of AI Based on Capabilities

  • Narrow AI (Weak AI): Task-specific AI (e.g., Siri, facial recognition).
  • General AI (Strong AI): Hypothetical AI matching human intelligence.
  • Super AI: AI surpassing human cognition (theoretical).

2. Types of AI Based on Functionalities

  • Reactive Machines: No memory; reacts to inputs (e.g., IBM’s Deep Blue).
  • Limited Memory: Learns from past data (e.g., self-driving cars).
  • Theory of Mind: Understands emotions (under research).
  • Self-aware AI: Conscious machines (hypothetical).

Applications:
- Narrow AI powers chatbots, recommendation systems.
- Limited Memory AI is used in autonomous vehicles.

Ethical Debates:
- Super AI’s risks (e.g., loss of human control).
- Bias in Narrow AI systems.

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Narrow AI vs. General AI

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Narrow AI performs specific tasks, while General AI (still hypothetical) can handle any intellectual task like a human.
- Real-Life Example: Spotify’s recommendation system (Narrow AI) suggests songs but can’t write poetry like a human (General AI).

  • Chunk Title: Self-aware AI
  • Chunk Text: A theoretical AI with consciousness, raising questions about rights and ethics.
  • Analogy: Like Pinocchio wanting to be a "real boy," self-aware AI might seek autonomy.

Detailed Explanation

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Examples & Analogies

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Memory Aids

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🎯 Super Acronyms

"NaGSu" for Capabilities (Narrow, General, Super).

🧠 Other Memory Gems

  • "ReLiThSe" for Functionalities (Reactive, Limited, Theory, Self-aware).

Flash Cards

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Glossary of Terms

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  • Term: Narrow AI

    Definition:

    AI designed for a single task (e.g., spam filters).

  • Term: Theory of Mind AI

    Definition:

    AI that understands emotions (in development).

  • Term: Autonomous Systems

    Definition:

    AI operating independently (e.g., drones).