Types of Artificial Intelligence: Narrow AI, General AI and Super AI Explained



Types of Artificial Intelligence: Narrow AI, General AI and Super AI Explained

Types of Artificial Intelligence

Introduction

Artificial Intelligence can be classified into different types based on capability and functionality. Understanding these types helps professionals evaluate current AI systems and future possibilities.

Type 1: Narrow AI

Narrow AI, also called Weak AI, is designed to perform a single task efficiently. It cannot operate beyond its defined domain.

Examples

  • Email spam filters
  • Voice assistants
  • Recommendation systems
  • Face recognition systems

Real Life Use Case

E-commerce platforms use recommendation engines to suggest products based on user browsing behavior.

Type 2: General AI

General AI refers to systems capable of performing any intellectual task a human can do. This type does not currently exist but is a major research goal.

Type 3: Super AI

Super AI would surpass human intelligence in all aspects including creativity, emotional intelligence and problem solving. It remains theoretical.

Functional Classification

Reactive Machines

AI systems that respond to current input without memory of past events.

Limited Memory AI

Systems that use historical data for decision making. Most modern AI systems fall in this category.

Theory of Mind AI

Hypothetical systems that understand emotions and social interactions.

Self Aware AI

Fully conscious AI systems, currently theoretical.

Comparison Table

 Narrow AI → Task specific General AI → Human level intelligence Super AI → Beyond human intelligence 

Interview Questions

  1. What is Narrow AI with example?
  2. Is General AI currently available?
  3. Differentiate capability based and functionality based classification.

Certification Practice Questions

  1. Which type of AI is currently dominant?
  2. Explain Limited Memory AI with example.
  3. What makes Super AI theoretical?

Summary

Most AI systems today are Narrow AI. General and Super AI remain future possibilities. Understanding classifications helps professionals align expectations with reality.



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