you thought the number of AI definitions was bad enough, Google returns 754,000
hits when searching for Types of AI and sadly, very few of them return a common
set of type definitions. For me the best way to categorize the types of AI is
by categorizing as follows:
Artificial Narrow Intelligence (ANI)
also referred to as Weak AI or Applied AI, is AI that specializes in one specific
area. Examples of this would be the IBM Deep Blue computer beating a chess master
at a game of chess. The machine was programmed to be very good at one thing
playing chess. Believe it or not but Apple's Siri is also an example of ANI. ANI
is programmed to respond to a limited set of questions, but if you go beyond those
questions then it cannot give an informed answer. The majority of today's AI solutions
My thoughts and discussion on AI and project planning later
in this paper all focus on ANI.
Artificial General Intelligence (AGI)
is also referred to as Strong AI or Human AI. AGI refers to a computer that is
as smart as a human across multiple domains. Computer science is nowhere close
to achieving AGI at this point.
Artificial Superintelligence (ASI)
i.e., superintelligence, is "an intellect that is much smarter than the best human
brains in practically every field, including scientific creativity, general wisdom
and social skills." It is even further away than AGI, so let's just move on!