Narrow AI and General AI are two different types of artificial intelligence (AI). Narrow AI is designed to perform a specific task, while general AI is designed to perform a wide range of tasks.

Narrow AI is also known as weak AI or applied AI. It is a type of AI that is designed to solve a specific problem or perform a specific task. For example, a narrow AI chatbot can be designed to answer customer questions, while a narrow AI medical diagnostic system can be designed to identify diseases.

Narrow AI systems are typically trained on a large dataset of data that is specific to the task that they are designed to perform. For example, a chatbot might be trained on a dataset of human-to-human conversations, while a medical diagnostic system might be trained on a dataset of medical images.

Narrow AI systems are often very good at performing the tasks that they are designed to perform. However, they are typically limited to a single task or a narrow range of tasks. They cannot generalize to new tasks or situations.

General AI is also known as strong AI or artificial general intelligence. It is a type of AI that is designed to perform a wide range of tasks, just like a human. General AI systems are still under development, but they are the goal of many AI researchers.

General AI systems would need to be able to learn and adapt to new situations. They would also need to be able to reason and solve problems in a way that is similar to how humans do. General AI is a more ambitious goal than narrow AI. It is also a more difficult goal to achieve. However, if general AI is ever achieved, it would be a major breakthrough in AI research.

Table that summarizes the key differences between narrow AI and general AI