Learn how to classify AI based on its capabilites by correctly assessing each category.
Learn the definitions of Narrow Artifical Intelligence, General Artifical Intelligence, and Narrow Artifical Intelligence.
This type of AI is designed and trained on a narrow range of tasks. They can perform their assigned tasks very proficiently. Some examples include: Voice assistants (Siri, Alexa) Facial recognition Recommendation engines (YouTube algorithm, Netflix suggestions)
Artificial General Intelligence (AGI) - AGI is a theoretical AI that can perform almost any intellectual task like a human alongside the ability to learn, adapt, and problem solve across diverse domains. As of November 2026, AGI has not been demonstrated. Although modern AI can perform many complex tasks, there is no universally accepted definition or test for AGI. Most experts do not consider current AI systems for AGI. Examples of AI potentially showing general AI capabilities are: Learning unfamiliar tasks without specific retraining Transferring knowledge between unrelated domains Planning and reason across many intellectual tasks. Adapting reliably to different situations.
Understanding where an AI falls on these spectrums helps define its boundaries, security considerations, and potential applications in modern technology.