What is the difference between Narrow AI and General AI?

Artificial Intelligence (AI) is the ability of a computer or machine to perform tasks that typically require human intelligence. These tasks can include things like:

• Understanding language

• Recognizing images or speech

• Making decisions
  
• Learning from data

Now, AI can be generally classified into two categories, depending on its functionalities:

01.Narrow AI (Weak AI)

Narrow AI is created to do a particular task. It might not lack any sense, but it works with a set of predetermined limitations. It is not able to do anything extra than what it has been trained.

Examples:

• Google Maps (navigation)

• Face ID on phones (face recognition)

• Spam filters in emails

These systems have the intelligence in their domain only.

02.General AI (Strong AI)
General AI is the name of that type of machine that will be enabled to possess human-like intelligence, which is the capacity to understand, learn and apply knowledge on a wide variety of tasks, as humans can do.

Goal: To develop AI and solve any problem, as well as think and even have emotions or consciousness, but this kind of AI has not yet been created.

Difference between Narrow AI and General AI:

Feature
Narrow AI
General AI

Scope
Limited to specific tasks
Capable of any intellectual task

Current Existence
Actively used today
Still theoretical

Adaptability
Low – needs retraining for new tasks
High – can learn new tasks itself

Intelligence Type
Task-specific
Human-like general intelligence