AI Learning Portal

Explore how AI is classified, the key differences between AI based on capability and functionality, and the types of modern AI systems used today.

Success Criteria

How do you classify AI?

Learn how to properly assess the functionality and capabilities of an AI system to accurately identify its correct classifications.

Classification Framework

When classifying AI, computer scientists use two primary dimensions: Functionality (how the AI operates) and Capability (the overall scope and adaptability of its intelligence).

These classifications are not mutually exclusive. For instance, a modern application might be classified as Narrow AI while exhibiting features of a Limited Memory system.

By Capability

  • ANI: Artificial Narrow Intelligence
  • AGI: Artificial General Intelligence
  • ASI: Artificial Superintelligence

By Functionality

  • Reactive Machines: No memory retention
  • Limited Memory: Learns from recent data
  • Theory of Mind: Understands emotions (Concept)
  • Self-Aware: Human-like consciousness (Concept)

Key Takeaway

Understanding where an AI falls on these spectrums helps define its boundaries, security considerations, and potential applications in modern technology.