What are the 4 types of AI?

ARTIFICIAL intelligence (AI) is a complex subject, so it is not uncommon for people to be unaware that there are four different types of AI.

These four types of AI aren’t all created equal, and some are far more sophisticated than others.

1

Reactive Machine

The oldest and simplest form of AI is the Reactive Machine.

A good example of this form of AI is Deep Blue.

IBM designed it in the 1990s as a supercomputer that played chess.

However, Deep Blue only identified the pieces on a chess board, understood how to make moves based on the rules of chess, acknowledged each piece’s present position, and determined what the most logical move would be at that moment.

The computer was not pursuing future potential moves by its opponent or trying to put its own pieces in a better position.

Therefore, Reactive Machines are not able to learn new actions and cannot conceive the past or the future.

Limited Memory

The next type of AI is Limited Memory, which refers to a machine learning (ML) model’s ability to extract knowledge from previously learned information, facts, stored data and/or events. 

The ML model then uses this data to make better predictions.

Autonomous vehicles use limited memory technology that relies on a combination of observationally gathered and integrated knowledge.

OpenAI’s ChatGPT is a great example of limited memory AI.

Theory of Mind

Another type of AI is Theory of Mind (ToM), but it is still under research and development.

However, many people are looking forward to the possibilities of ToM and how it will stand out from the others.

ToM will utilize AI and ML expertise already developed as well as discern the needs, emotions, beliefs, and thinking of an individual.

The ability to understand human emotions could play a significant role in empathetic healthcare, for instance in interactions with individuals with neurological diseases, including Alzheimer’s, and psychiatric disorders, such as depression and schizophrenia.

Self-Aware

The final type of AI is where the machines are aware of themselves and perceive their internal states and others’ emotions, behaviors, and acumen.

The final type of AI is where the machines are aware of themselves and can understand other people’s emotions.

This AI hasn’t been developed yet, and it is still seen as controversial.

One of the reasons why is that AI-based decisions are susceptible to inaccuracies, discriminatory outcomes, and embedded bias.

This post first appeared on Thesun.co.uk