Introduction to Artificial Intelligence
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Types of AI Based on Capabilities
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Let’s discuss Narrow AI—your phone’s voice assistant is an example. Can anyone name others?
Google Translate?
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.
Is Super AI like sci-fi robots that rule humans?
That’s the fear! Super AI is purely theoretical but sparks debates about ethics.
Types of AI Based on Functionalities
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Reactive Machines, like chess-playing AI, don’t learn. But Limited Memory AI, like Tesla’s cars, improves with data.
Will Theory of Mind AI understand my feelings?
That’s the goal! Researchers are working on AI that detects emotions—useful for mental health apps.
Ethical Implications
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Should Super AI be developed if it risks human safety?
No! What if it makes decisions we can’t control?
Exactly. Ethical guidelines are crucial as AI evolves.
Introduction & Overview
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Quick Overview
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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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Chapter Content
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
Examples & Analogies
Memory Aids
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Acronyms
"NaGSu" for Capabilities (Narrow, General, Super).
Memory Tools
"ReLiThSe" for Functionalities (Reactive, Limited, Theory, Self-aware).
Flash Cards
Glossary
- Narrow AI
AI designed for a single task (e.g., spam filters).
- Theory of Mind AI
AI that understands emotions (in development).
- Autonomous Systems
AI operating independently (e.g., drones).