Cross-Cultural Competence

In conversation at DHL, on the key issues around business and culture across Africa. If this is to be the African century - and many believe it will be - then 'business-as-usual' is facing cross-cultural adaptation.

Inverting the Pyramid

As far back as 1972 the global think-tank, Club of Rome, issued a chilling warning that the global economy could not assume infinite growth on a finite planet. This month, the group came ‘home’ to Africa, to see what the world can learn from the mother continent. Indigenous wisdom teaches that, only by going to the end of anything can its opposite be found. In modern parlance that means we’re now dealing with an ‘inverted pyramid’ on climate justice.

Vaclav Smil, the great environmental theorist, tells us that natural growth taking place on the Earth is always limited. Our planet has a finite amounts of elements, processes a finite amount of energy; and it can only support a finite amount of human interventions. Most of us know this by now. Yet, as a species, we seem unwilling to accept that there is no unlimited growth. Even dematerialization - doing more with less - cannot remove this constraint.

Horace wrote two millennia ago in his Satires: “There is a mean in things, there are lastly certain limits on either side of which right cannot be found”. Today, this is not merely a moral exhortation. The long-term survival of our global civilization cannot be assured without setting limits on a planetary scale. This inversion of everything we have come to know represents an evolutionary challenge; the likes of which has never been seen, precisely because it’s global.

It’s better understood as a human problem. Partially, there is ‘hope’ in the sense that some nations are aging out. Essentially every affluent country has now started to fall below the replacement level of reproduction i.e. 2 children/couple. Once reproduction falls to 1.3 children/couple, there’s no more chance that it could ever recover. That is reason for hope is that, years from now, they will not be consuming because there will be nobody there in those countries.

The Global North doesn’t matter anymore. It talks about global problems; as if its problems are also the Global South’s problems. Lowered expectations have to result in improvements though. But, of course, it cannot be done without wrenchingly centring the global economy. How much change would it take? The real cost of food and energy should reflect the cost of all our societal waste; and the real cost is so much higher than what we pay now.

So, we are in a new age defined by climate change and the strange, inadequate, and often self-deluding ways we process its transformations. Climate change is such a vast thing. It can be approached in thousands of ways. But, in a sense, this is the real challenge that it poses: “How do you give voice to the non-human?” An interesting thing about our imagination is that nature becomes science. As if we can only ventriloquize nature through the scientists.

We wish we could be animist, but can’t bring ourselves to cross that line. It’s ultimately a story about human behavior, in the sense that we have kicked off these cascading changes. When we wake a sleeping lion, we’ve woken him. We haven’t created him. The lion has its agency and it’s going to come after us. With climate change we spurred something into motion, which is now violently striking back at us.

We can both see the total inadequacy of our existing elite in addressing and reckoning with this problem, and also have a really hard time seeing that elite being toppled any time soon. They’re much more prepared than their adversaries. The idea that the elites deny climate change, is just a complete red herring. Billionaires quietly buying boltholes in New Zealand doesn’t mean they can’t work out climate change.

There’s too much wealth involved in this, so let other people suffer is the attitude. What the elite will say right away is, “Let them give up their cars if they care so much.” Well, this may be a perfectly defensible position morally. But, it was not Gandhi’s position. He was able to say that, he would rather that his country be poor than it destroy the world. Today such a position would be untenable. Any politician with such a position would be hounded.

This is partly why we have a conceptual lag. We think of decarbonization as being a burden - a moral obligation. But, decarbonizing is actually the only way to survive the 21st century. It is also the best thing that ever happened to us in so far as modernizing civilization. The second conceptual lag is about the fact that there’s a strong case for climate- over human rights, because with human-rights violations there’s no material effect on people living elsewhere.

Furthermore, we have a certain vision of rationality. And that vision, which goes back to Descartes, is that being rational is the opposite of being emotional. However, when we reason the emotional centers of our brains are involved as well. And when people’s emotional centers are damaged, they make bad decisions. This is why when we believe we have to put emotions aside, giant red flags should go up. If we can’t show emotion now, when can we?

So, what is an inappropriate emotional response? The whole climate crisis is apparently ambiguous. Rationally, we should be panicked really. We should be panicked, angry, upset, despairing - all of those things. But, of course, we all know none of those are really productive. If the house is really on fire, you stay calm, you pull the fire alarm, you call the fire department, you get out of the house, and then you figure out how to rebuild the house.

With climate change, the key thing that we have to try to figure out is, what the rebuilding is. What it should look like; and where we should start. Maslow’s hierarchy of needs may just be such a starting point, with one caveat though - we need to invert the pyramid. It would change the game a lot in a lot of different countries.

Our chances are slim, but also anything big we do is significant. It’s not a case of either we do it all, or we just give up and drink ourselves to death. It all matters because every quarter-degree Celsius of global warming is hundreds of millions of lives, if not more.

And the centrality of marrying climate action to building a more humane society is all the more important if we don’t do it. In the sense that, if we aim to become a society that doesn’t let people drown in the ocean, or die in the desert. When we actually do our best to save lives and believe that people have a right to health care by right of being alive; and open up our borders in the face of a massive humanitarian crisis - then we become a society based on valuing and cherishing all of life.

That will serve us very well if it turns out we were pretty far off the mark in emissions reduction. The rockier the future is, the more important it is that we become a decent society, which we’re not right now. And that means we have to prioritize our self-actualization; and then work towards our physiological needs. It will allow each person on this planet to make their own unique contribution to our evolution as a species. Ideally, such a future will result in:

• Using resources, including labour, in a way that benefits all life.
• Changing ownership so that power returns to the hands of the people.
• Creating an accountable, transparent money system that serves everyone.
• Refocusing education so that it gives skills to deal with rapid change.
• Creating technology to enhance the well-being of people and the planet.
• Creating cooperative, bio-regional communities linking rural and urban.
• The human population achieving a healthy balance with other species.

It’s usually at this juncture that the charge of practicing ‘disaster socialism’ rears its ugly head i.e. seeking to use the climate threat to vastly expand the role of government and quash corporate influence. The truth of it is that climate change cannot be effectively addressed without a simultaneous deep reckoning with our society’s other ills; of wealth and income inequality, racial discrimination and crumbling infrastructure. In short, climate justice.

That means our collective future is radical. The present is pretty radical too. The idea that there is some sort of gradual, incremental, let’s-split-the-difference pathway to respond to this crisis is just plain silly at this point. Humanity has a once-in-a-century chance to fix a global model that is failing the majority of people on multiple fronts. Evolution demands nothing less from us.

First People

Every now and again we must remind ourselves of the time that came before this time... and think also of the time that is to come... and when we stand with our eyes open on this long timeline, with all the other souls that have come and gone and come again, then we will best understand this story... the story of the First People and ourselves.

Here on the Great Sand Face of the Kalahari it feels like being at the centre of the earth. It is not the people who decide what sort of day it will be, it is the day who decides how the people shall be. Today they are gentle, like small soft clouds spread across the early African sky. They are the First People of Africa... the people of the healing dance. They are the story-painters of the rocks, who speak old words with a clicking tongue. 

They carry the memory of an earlier time when the earth had a different spirit form. They walk the tail end of a time when people were still one with the whole, and the voice of God was not strange. They come from the time of innocence, and they call themselves the Bushmen... living in the way that all humanity has lived on earth since the beginning, and they are the last of the first.

Indigenous Knowledge & AI

One of the things that humans are trying to do, currently, is create artificial intelligence (AI). In humans, we begin with a system with lots of local connection, and then we have a tipping point; which then turns into a system that has fewer connections but much stronger, more long-distance connections. So, we start out with a system that’s very flexible but not very efficient; and that turns into a system that’s very efficient and not very flexible.

 And therein lies the rub. Instead of trying to produce a program to simulate the modern mind, why not rather try to produce one which simulates indigenous knowledge? The explosion of machine learning, as a basis for AI, has made people appreciate the fact that if you’re interested in systems that are going to learn about the external world, the system that we know of that does that better than anything else is indigenous knowledge.

This means taking a leaf from nature’s playbook. The strategy of producing just a few younger organisms, giving them a long period where they’re incapable of taking care of themselves, and then having a lot of resources dedicated to keeping them alive turns out to be a strategy that - over and over again - is associated with higher levels of intelligence. And that’s not just true for humans. It’s true for animals, insects and even plants.

It’s interesting that that isn’t an architecture that’s typically been used in AI. But it’s an architecture that life seems to use over and over again to implement intelligent systems. One of the questions we could ask is, how come? Why would we see this relationship? Why would we see this characteristic neural architecture, especially for highly intelligent species?

A good way of thinking about this may be that it’s a way of resolving the explore-exploit tradeoffs that we see in AI. One of the problems, characteristic to AI, is a greater range of solutions that seem to be moving in the direction of a system that’s more intelligent. A system that understands the world in more different ways, also produces a big expansion of the search problem.

One way to solve this problem, that comes out of computer science, is to start out with a very wide-ranging exploration of the space; and then gradually narrow in on solutions that are going to be more effective. The problem with such a high temperature search is that we could be spending a lot of time considering solutions that aren’t very effective; and if we’re considering solutions that aren’t effective, we aren’t going to be very good at acting in the world.

By contrast, indigenous knowledge produces a lot of random variability. Being impulsive and acting on the world are good ways of getting more feedback, but they’re not very good ways of planning effectively. This gives a different picture about the kinds of things we should be looking for in intelligence. It means that some of the things that have been difficult for AI to do - like creativity, being able to get to solutions that are genuinely new - are things that indigenous people are remarkably good at.

For example, one of the things that we know indigenous people do, is to get into everything. That's active learning, where they’re determining what will be the exact kind of information that will cause them to change the current view that they have of the world. It's a very unusual thing to be able to do, to go out into the world and spend energy in order to risk being wrong. That’s something that modern humans very characteristically don’t do.

Another aspect of what indigenous people do, that would be informative for thinking about intelligence in general, is that they are cultural learners. One of the effects is that it gives them this capacity for cultural ratcheting, a way of balancing innovation and imitation. They produce a constant tension between how much they’re going to be able to build on the things that the previous generation has done; and how much they’re producing something that’s new enough, so it would be worth having the next generation imitate.

The extraordinary affinity indigenous people have with nature keeps their brains in a state of plasticity. So, the effect is that it increases the local connections and breaks the long-distance network connections. What modern humans can learn from them is how to take a system that’s relatively rigid and inject variability; which shakes it out of its local optima and lets it settle into something new. Therefore, having computers that play and explore, might be a model for AI that’s different from the models of intelligence that we currently have in modern society.