Types of AI

Artificial Intelligence can be classified in several ways, often based on its capabilities (Type 1) or its functionality (Type 2).

Type 1: Based on Capabilities

This classification focuses on how well AI can perform tasks compared to human intelligence.

1. Artificial Narrow Intelligence (ANI)

Also known as “Weak AI,” ANI is designed to perform a specific task (e.g., facial recognition, voice assistants, or playing chess). All current AI systems, including LLMs like ChatGPT, are considered Narrow AI because they operate within a limited context.

2. Artificial General Intelligence (AGI)

Also known as “Strong AI,” AGI refers to a machine that possesses the ability to understand, learn, and apply knowledge in a way that is indistinguishable from a human across any intellectual task. AGI does not yet exist.

3. Artificial Super Intelligence (ASI)

ASI is a hypothetical level of AI that surpasses human intelligence across all fields, including creativity, general wisdom, and social skills.

Type 2: Based on Functionality

Proposed by Arend Hintze, this classification looks at how the AI processes information.

• Reactive Machines: The simplest form of AI. They do not store memories or use past experiences to inform future actions (e.g., IBM’s Deep Blue).
• Limited Memory: AI that can look into the past to make better decisions. Most modern AI, including self-driving cars and chatbots, falls into this category.
• Theory of Mind: A hypothetical type of AI that can understand human emotions, beliefs, and intentions.
• Self-Aware AI: The ultimate stage of AI development where the machine has its own consciousness and self-awareness. This remains purely speculative.