When you converse about AI or Artificial Intelligence, you are discussing the progress and capability of a smart machine system to do both complex and simple tasks, which are normally done by human beings. Also, some intelligent systems are able to exhibit behavioral as well as emotional reactions, which are definitely human.
On the other hand, as educators, you have to know AI on a most profound level, not only on the surface. If you fail to know more about AI, you will miss out on some of the remarkable things, which this system can perform for the field of learning. As an initial step, let us first talk about the four kinds of Artificial Intelligence and what you must know about them. Knowing the four types of artificial intelligence will provide you a further refined understanding of how they can be utilized to boost student results.
- Reactive Machines: This type of AI is considered the most basic. Some good examples of reactive machines are games like Deep Blue. This is a similar computer, which beat the Grand Master Gary Kasparov. The artificial intelligence teams don’t utilize any training to feed the machine or store data for future references.
- Limited Memory: This AI belongs to the class 2 category of artificial intelligence applications. A self-driven car is the best example. This machine is fed with data as well as trained with other car’s direction and speed, traffic lights, lane markings, road curves, as well as other vital aspects, in due course.
- Theory of Mind: This is the idea where bots can understand human thoughts, emotions, and how they react to them. Once the Artificial Intelligence powered, machines mingle with us as well as move around with us, knowing human action and behavior is vital. Reacting to that behavior is the prerequisite.
- Self-Awareness: This is the extension of the Class 3 type of artificial intelligence. It’s one step ahead of knowing human emotions. Self-awareness is the stage where the team of AI builds machines with the self-awareness aspect programmed in them—having this one seem far-fetched from where people stand at this point. Like for instance, when somebody is honking from behind, the machine must feel the emotion. That is when they know how it feels if they beep at somebody’s back.
It is vital to concentrate on perfecting all factors of kinds of AI. Sloppily speeding in each artificial intelligence tier could be harmful to the future of AI for generations to come.