Human vs Artificial Intelligence
Just as human intelligence has multiple facets, so does AI/ML have multiple forms and implementations.
Without getting too scientific about it, at this time we will use a loose reference to the theory of multiple intelligences as put forward by Howard Gardener, an American psychologist. According to his theory, humans demonstrate eight abilities that manifest multiple types of intelligence.
Using these as a reference, we can try to loosely map what computing devices and AI/ML algorithms are capable of replicating and to what extent.
| Human Intelligence | AI/ML Equivalent |
|---|---|
| Logical-Mathematical: An ability to think with logic, abstractions, reasoning, numbers and critical thinking. | Computing devices excel in the logic and numbers aspect since this is precisely what they have been designed for. Reasoning and critical thinking are still in the nascent stages. |
| Linguistic-Verbal: An ability to understand words and languages. | AI/ML algorithms to understand the written word and translate from one language to another are quite mature. Voice recognition algorithms are also fairly advanced. |
| Visual-Spatial: An ability to have spatial judgment and to visualize and understand what the eye sees. | AI/ML algorithms for image and video processing for facial recognition, detection of objects and so on are quite advanced. Cameras are used as input devices to feed digital representations of the real world to these algorithms. |
| Musical-Rhythmic and Harmonic: An ability to be sensitive to the sounds, rhythms, and tones of music. | While this is more an artistic field and may not have significant business requirements, there are AI/ML algorithms that recognize music and can identify the tune, song or artist. AI/ML algorithms are also able to compose music, although judging the quality is a subjective matter. |
| Bodily-Kinesthetic: An ability to control body motions and the ability to handle objects skillfully. | While this is not directly imitable since computing devices do not move, this AI/ML is demonstrated in the field of robotics and robots can mimic human movements very precisely. |
| Interpersonal: An ability to be sensitive to other people's moods, feelings, temperaments, motivations, and their ability to cooperate to work as part of a group. | AI/ML algorithms in this area are still in the nascent stages of development. However, there are applications for these alogrithms, to be able to support human behaviour through automation. |
| Intrapersonal: An ability for introspection and self-reflection. | There may not be much scope to try AI/ML algorithms in this area. |
| Digital Intelligence: An ability to manage interactions with computing devices and the solutions offered in the digital world. | Given that this is related to humans being able to work with computing devices and AI/ML, the reciprocal may be developed as AI/ML algorithms where computing devices can interact meaningfully and derive benefits from humans and other computing devices. |