Which term describes systems designed for specific tasks and not general intelligence?

The term that accurately describes systems designed for specific tasks rather than exhibiting general intelligence is Narrow AI. This designation refers to artificial intelligence systems that are programmed to handle particular tasks, such as image recognition, language translation, or playing chess, without the ability to perform functions outside their defined scope. Narrow AI systems are prevalent in many applications today, demonstrating high efficiency in predefined tasks but lacking the flexibility and cognitive capabilities of humans or broader intelligences.

General AI, on the other hand, refers to a theoretical form of AI that would have the ability to understand, learn, and apply intelligence across a wide range of tasks, functioning similarly to human cognitive abilities. Weak AI, while often used synonymously with Narrow AI, generally indicates a system that does not possess genuine understanding but simulates intelligence within a confined context. Artificial Superintelligence surpasses human intelligence in all aspects, including creativity, problem-solving, and emotional understanding, which is far beyond what Narrow AI systems can achieve. Hence, Narrow AI is the appropriate choice for systems limited to specific capabilities.