/ˌɑːtɪfɪʃl ˈdʒɛn(ə)r(ə)l ɪnˈtelɪɡəns/ | Noun
/ˌɑːtɪfɪʃl ˈdʒɛn(ə)r(ə)l ɪnˈtelɪɡəns/ | Noun
Artificial General Intelligence (AGI) refers to a subset of Artificial Intelligence. Often, there is a confusion between different types of AI that operate at a lower or higher level. Technologies like facial recognition, autonomous vehicles, and voice recognition fall within the category of Artificial Specific Intelligence.
AGI on the other hand refers to AI that can operate in an intelligent manner across multiple tasks, without any human agency. It is able to configure itself to conduct tasks in an independent manner. Often, when referring to AI in the context of the Turing Test we talk about AGI. It describes a system that is able to mimic the interaction of a human, by communicating with an adjudicator who compares the responses of a human and and robot to his questions. If it is not possible to distinguish between the responses then in such a case it is said that the system has acquired Artificial Intelligence. However, this has later come to be known as AGI, since there is a distinction between the level of operation between different types of AI.
According to Wang and Goertzel, the term AGI can be used to identify the general capabilities of some systems being developed.