Appreciating Systems

Appreciating Systems for Genuine Efficiency
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#AI has surpassed us already and made us its slaves.

I was thinking about the recent news of renowned scientists and experts warning us against Artificial Intelligence that could surpass us. Unfortunately, I think this happened already without us knowing it, and, what most, it has made us its slaves (or we’ve inadvertently submitted ourselves to it).

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What the #ebola pandemic reveals (again) about the world systemic vulnerabilities – #systemsthinking #vsm #labso

Out of a discussion on LinkedIn, I wrote the following:

Regarding the Ebola pandemic, at first we, the outsiders of Africa, didn’t notice, then we didn’t believe, then we didn’t invest, then we weren’t prepared, then we’re stuck by the huge implications of what might happen, then bounded rationality kicked in and we blinded ourselves to what ought to be done.

Sounds like a reinforcing loop (the epidemic archetype) running faster then the structural adaptation of the minds (cf. works of Maturana & Varela) getting progressively (though exponentially) involved in the system at play.

It seems to be our modern living habits (cheap international travels – flights, trains, cars), dense inhabiting zones, etc have created systems into which both information and viruses spread faster than the speed at which we can think, adapt and react.

This conclusion, for me, supports the idea that we need to change the way we address that high-speed complexity (high interconnectedness). More than ever, we don’t have the requisite variety to tackle it, whether static or, now, dynamic.  More than ever we need skills in facilitation of big groups to achieve collective intelligence. This is what we’ve tried to do by creating the Labso, Laboratory of Social Technologies: showing people how easy it is to tap into the power of the crowd and social networks by uncovering what works and why and making more of it, if not co-creating something bigger.

I hereby also predicts that this won’t be enough in the near future, on two accounts:

  • connectivity will continue increase both in the number of connections and in the speed (because of technology)
  • AND because by going to mass facilitation, we’re just solving a short term problem and contributing to the acceleration as well.

My personal solution to the near future (or present situation for some problems) is to accelerate further by sticking close to the geographical area, trust it to handle the local situation properly, and only signal/ask for help “upwards” when the need arises.

Sounds like a global Viable System Model to me, don’t you think?

How I moved beyond #SystemsThinking methods…

This, I posted on the Systems Thinking World LinkedIn group:

I feel like I moved beyond ST methods (the one I cited in a previous blogpost). I was swallowed by Complexity and Ashby‘s law of requisite variety was the crack through which I came on the other side of the mirror.

What this means is: I recognize the complexity of the world and our (recent) capacity to acknowledge it. I recognize my own limitation to understand that complexity in a decent (short time) way: I simply acknowledged that I don’t have the requisite variety.

I also do recognize that people are structurally coupled to their own conditions and their own understanding of them, far better than I will ever be capable of.

So, my own ST way of approaching life is now to help people weave their own mental models with that of others (when they’re supposed to interact successfully) so they can co-build (ie, influence each other) a new one that work for both of them.

In any situation, the best strengths to use and the one of the people inside that very situation. So I help people weave themselves and make their co-intelligence emerge and address the situation.

The generic term for that is “strength-based approaches to change”, but, to me, it goes way beyond just identifying people skills and traits and using them…

What is Ross Ashby’s Law of Requisite Variety? (#systemsthinking background material)

This is a concept that I’m using since quite some time now and that I seemed to understand rather intuitively though, necessarily at a general level.

What it basically says is that for a controller to remove noise from a signal, it needs to have a minimum variety that depends on the signal it needs to remove noise from and the variety of the result that it deems Good. Which Ross Ashby summarized as “only variety can kill variety“, where the killing part was about killing the variety of noise. Read more »

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