At work, there’s a very interesting debate going on what is the correct definition of Artificial Intelligence. The word AI has become more of a cliche these days but I believe there is still merit in having your own good definition of what it means to you and your organisation.
Here’s my 2p worth…
If we take a step back and take a look at the most popular definition of “Intelligence” (from wikipedia), it is:
“the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, and problem solving”.
Surely then, Artificial Intelligence should mean:
“anything that is artificial and has the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, and problem solving”.
Today, we can build software systems that are capable of “logic“, “learning“, “reasoning“, “planning” and “problem solving“. And I would class them as “Partially Intelligent” (or Narrow AI as some people call it)
But we still haven’t figured out how to make software that is “self aware“, has “emotional knowledge” and more importantly, generalises from past experience and knowledge and applies to new tasks.
We are not there yet, but surely we will one day.
According to Medici Effect,
“Breakthrough innovations happen at the intersection of ideas, concepts, and cultures”.
I will add “hype” to that list of intersections 🙂