There are several different types of AI, and the specific classification of AI systems can vary depending on the specific criteria used. That being said, one common way to classify AI systems is based on their level of intelligence and capabilities.
Using this classification, AI systems can be divided into three main categories:
- Narrow or weak AI: This type of AI is designed to perform a specific task or set of tasks, and is not generally capable of adapting to new situations or performing tasks outside of its narrow domain. Narrow AI systems are often used for specific applications, such as image or speech recognition, and are typically trained on large datasets to perform their designated tasks.
- General or strong AI: This type of AI is designed to be capable of performing any intellectual task that a human can. Strong AI systems are capable of learning and adapting to new situations, and can perform a wide range of tasks without being specifically trained to do so. Strong AI systems are often used in research and development, and are considered to be a more advanced form of AI compared to narrow AI.
- Super AI: This is a hypothetical type of AI that is significantly more intelligent and capable than humans in virtually all domains. Super AI systems are often depicted in science fiction and are not currently thought to be possible with current technology.
It is important to note that these categories are not mutually exclusive, and AI systems may exhibit characteristics of more than one type of AI. Additionally, the boundaries between these categories are not well-defined, and there may be overlap between different types of AI.
