Some #reflections on #human and #machine #intuition, and how we can make it work

The three peaks of human #failure, #frustration and #forgetfulness are the key to us comprehending better the realities which differentiate us radically from the machines.

This is what I am going to write about right now.

My understanding of #ai and its possibilities is informed by the humanity I share with most other human beings.

I have a scientific, evidence-based mindset which uses arts-based thinking patterns to solve real-world problems. It is therefore a mind that is set in no way.

We have been missing an #ai trick for too long: it’s time we made money from the thing by deepening what humans do best – intuition – instead of saying it actually doesn’t matter that machines can’t properly reproduce such processes, because their number-crunching powers reach similar goals through different means.

Until and when, and whenever and if ever, a machine is able to deliver perfectly formed solutions to problems which have been nagging it, by:

1. going on a dreadful drinking spree, and then awakening to the most productive post-hangover insights;
2. forgetting the great unspoken idea from the meetup the day before, and then remembering it even fabber two weeks later;
3. disagreeing aggressively with a colleague on a matter of trivial substance, only to come back the following day quite crestfallen, with a win/win for both parties concerned;

… and so if ever, when and until machines deliver these things, only then will we finally be able to say that they have finally mastered the arts and sciences of #arationality.

But until they do, we can’t.

And that’s the truth, I promise.

In the meantime, remember one thing: the problem with human intuition isn’t that it’s inexact. The problem lies in the fact that we don’t know how to correctly, usefully, and inclusively & efficiently capture, evidence and validate it.

Human intuition can be amazingly perspicacious. And we can all deliver on this perspicacity.

What’s missing is our ability to give everyone else’s intuitive insights the same credence we are content to give our own.

#ar, #cloud, #github, #ive, #intuition-validation-engine