Narrow AI is specialized for specific tasks, such as voice recognition or playing chess. It does not possess general intelligence or consciousness.
General AI aims to replicate human-like intelligence, capable of learning and applying knowledge flexibly across many domains.
A chess program is a classic example of narrow AI because it is specialized for one task and cannot generalize beyond it.
General AI must understand context and apply knowledge broadly, which is difficult because it requires flexible reasoning and learning.
General AI's ability to adapt and innovate across various domains means it could transform many aspects of society, unlike narrow AI which is task-specific.
