Explore how AI is classified, the key differences between AI based on capability and functionality, and the types of modern AI systems used today.
Learn how to classify AI based on its functionalities by correctly assessing each category.
Reactive machines operate based on present data and do not store any data from pervious actions. They use current input or state without retaining ongoing memory. This is the simplest form of AI. A primary example is IBM Deep Blue, a chess computer that evaluates the current board and makes moves.
Limited Memory AI uses previous data to make improved decisions and predictions. This AI lacks long-term memory. Most modern AI systems currently in use fall under this category. Because of the use of past data, it allows the AI to create context-aware decisions. Some instances of this are self-driving cars scanning the road to assure safety or Chatbots like Google Assistant or Amazon Alexa.
This category is hypothetical and would infer to others' beliefs, intentions, knowledge, desires, or perspective. Although some modern AI models have demonstrated ability to form well on ToM tests, this does not entirely prove that this AI possesses genuine human consciousness.
Self-Awareness AI is a theoretical AI that has a complete consciousness, allowing for the understanding of emotions and self-awareness like humans. It would have decision making based on morals and pursue goals based on understanding of the environment. No AI today possesses these capabilities.