This Guest paper was first published on the PlanningPlanet blog on January 12, 2018 and is copyright to Dr. Dan Patterson, PMP, 2018
Published here
April 2018.

Introduction | What Exactly is Artificial Intelligence?
The Problem with Project Planning Today | AI Categories | Current Approaches to ANI
Neural Networks | Which AI Approach is Best for Helping with Project Planning?
Should We Embrace or Avoid AI in Planning?

AI Categories

If 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)

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 are ANI-based.

My thoughts and discussion on AI and project planning later in this paper all focus on ANI.

Artificial General Intelligence (AGI)

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)

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!

The Problem with Project Planning Today  The Problem with Project Planning Today

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