Narrow AI and AGI

NARROW AI

Narrow AI is a term used to describe artificial intelligence systems that are described to handle a single or limited task. The antithesis to Narrow AI, sometimes called weak AI, is called Strong AI. Strong AI, unlike Narrow AI, is capable of handling a variety of tasks rather than performing a specific task or problem. This variation of artificial intelligence can be thought of as the basis of neural networks that produce sensitivity or consciousness.

Application of Narrow AI:

Narrow AI applications are becoming more common as machine learning is becoming more and more integrated into today's society. For example, Narrow AI can be used to filter spam emails, music recommendation services, and autonomous vehicles. There are concerns, however, about the widespread use of Narrow AI in critical infrastructure projects. Some argue that the features of Narrow AI make it brittle, and in cases where a neural network can be used to control important systems (e.g. power grid, financial trading) alternatives can be very risky.

Examples:

Few examples of Narrow AI are:

  1. Google Search
  2. Image recognition software
  3. IBM's Watson
  4. Siri, Alexa, and other assistants
  5. Self-driving cars

Artificial General Intelligence:

Artificial General Intelligence (AGI) is the intelligence of a machine that can understand or learn any intellectual work that a human can do. This is the primary objective of some artificial intelligence research and a common theme in science fiction and futures studies. It is also called "Strong AI".

AGI does not exist, but has been featured in sci-fi stories for more than a century and has been popularized by films such as 2001: A Space Odyssey.


The fictional descriptions of AGI vary widely, however, as seen in films such as The Matrix or The Terminator, leaning toward the dystopian vision of intelligent machines that exterminate or enslave humanity. In such stories, AGI is often apathetic to human suffering or to the destruction of humanity.

On the contrary, the utopian assumptions, like Ian M Banks' culture of civilization novels, runs AGI as benevolent guardians and equilibrium societies, where residents can pursue their interests and technological advancement at a slower pace.

It is not known whether these ideas have any resemblance to real-world AGI because nothing like this was created, or, in the opinion of many working in the field of AI, even close to being created.

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