Humans Ruin the Economy

Humans are ruining the economy.

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This is the caption on the sign for this segment. The sign advertises a solution, which is to “Vote for DEMOCROBOT… The first party run by artificial intelligence”. It also promises to “give everyone a living wage of ÂŁ1436.78 a week”.

I have been very vocal that I find the idea of humans governing humans is a bad idea at the start. By and large, humans are abysmal system thinkers and easily get lost in complexity. This is why our governments and economies require so much external energy and course correction. Not only were they poorly designed and implemented, but they’re also trying to manage a dynamic system—a complex system. It won’t work.

What about bots and artificial intelligence? The above image was posted elsewhere, and a person commented that our governments are already filled with artificial intelligence. I argued that at best we’ve got pseudo-intelligence; at worse, we’ve got artificial pseudo-intelligence, API.

The challenge with AI is that it’s developed by humans with all of their faults and biases in-built.

The challenge with AI is that it’s developed by humans with all of their faults and biases in-built. On the upside, at least in theory, rules could be created to afford consistency and escape political theatre. The same could be extended to the justice system, but I’ll not range there.

Part of the challenge is that the AI needs to optimise several factors, at least, and not all factors are measurable or can be quantified. Any such attempt would tip the playing field one way or another. We might assume that at least AI would be unreceptive to lobbying and meddling, but would this be the case? AI—or rather ML, Machine Learning or DL, Deep Learning—rely on input. It wouldn’t take long for interested think tanks to flood the source of inputs with misinformation. And if there is an information curator, we’ve got a principle-agent problem—who’s watching the watcher?—, and we may need to invoke Jeremy Bentham’s Panopticon solution.

One might even argue that an open-source, independently audited system would work. Who would be auditing and whose interpretation and opinion would we trust? Then I think of Enron and Worldcom. Auditors paid to falsify their audit results. I’d also argue that this would cause a shift from the political class to the tech class, but the political class is already several tiers down and below the tech class, so the oligarchs still win.

This seems to be little more than a free-association rant, so I’ll pile on one more reflection. Google and Facebook (or Meta) have ethical governing bodies that are summarily shunned or simply ignored when they point out that the parent company is inherently unethical or immoral. I wouldn’t expect much difference here.

I need a bot to help write my posts. I’ll end here.

The Matter with Things: Part 1 Chapter Orientation

I can’t recommend Iain McGilchrist’s book, The Matter with Things, highly enough. I recommend reading The Master and His Emissary first. I didn’t figure this out until I started reading The Matter with Things, so I am reading them in parallel.

The book arrives as two volumes split into three sections. Part one is the foundation the rest of the book builds on. I’ve recently finished it and summarised each chapter, but I feel a high-level chapter orientation would be in order. Part one contains nine chapters:

  1. Some preliminaries: how we got here
  2. Attention
  3. Perception
  4. Judgment
  5. Apprehension
  6. Emotional and social intelligence
  7. Cognitive intelligence
  8. Creativity
  9. What schizophrenia and autism can tell us

Here’s the breakdown:

Some preliminaries: How we got here

As this book is a follow-up to The Master and His Emissary, published in 2008, Iain has already laid much of the foundation for it. Moreover, he doesn’t assume that you’ve already read The Master and His Emissary, and the work leading up to it, so this is what he outlines here as he drops hints of what’s to come in the chapters ahead.

Attention

This chapter reminds us that we cannot perceive what we don’t attend to, to pay attention to. The world outside just is, and we can attend to this or to that. From there, our perception will develop, perhaps, in turn, drawing out attention elsewhere.

As is a thread throughout, Iain uses various mental illnesses and split cerebral hemispheres to make his points. In this case, he tells us how neuro-atypical people have attention challenges, whether attending to the ‘wrong’ or otherwise inappropriate things or attending to too many things at once, flittering from this to that to the next thing without pause or resolution.

Perception

This chapter articulates how we perceive after attention has been focused. Perception is based on prior experience and knowledge combines with new sensory inputs.

Following the trend of people with hemisphere disturbances, Iain reminds us that people coming from different experiential places will perceive the same scenario differently. And if they are attending to the ‘wrong’ stimulus, their perception may be limited to that context, even if that micro-focused scope is otherwise correct.

Judgment

For some reason, Iain uses the American English spelling of Judgment, which in this case happens to be my preferred rendition, though my spell-checker disagrees.

In this chapter, we move from attention and perception to now being able to make judgements in this space. Of course, if we’ve attended to the ‘wrong’ thing leading to a variant perception, our judgment may be similarly out of order. Following the American trend, let’s say I am watching a baseball match, and the umpire calls a ball thrown out of the strike zone as a strike. If instead, my attention was distracted to another person in the stands picking his nose, my perception of the strike situation would be peripheral at best, and I would be in no place to make a judgment—about the pitch in any case. I may likely have plenty of judgment about the nose-picker.

In a nutshell, judgment is a left hemisphere function. The right hemisphere simply doesn’t care to judge. It’s a dispassionate observer taking in all without even categorising, let alone judging.

Apprehension

In this chapter, Iain explains that he is employing the term apprehension classically to mean to grasp or hold onto. This is a left hemisphere function as well. The right hemisphere is not grasping. Deficits in the right hemisphere don’t allow one to view the world in context as a whole. The left hemisphere will just see things are disconnected parts, so whilst we might grasp and apprehend, our comprehension is deficient. Without a robust big picture, we may just grasp at things indiscriminately.

Emotional and social intelligence

This chapter and the next are about intelligences. As the name suggests, this chapter is concerned with emotional and social intelligence. For me, I think of the Raymond character in Rain Man, itself the result of a misperception of the name Raymond for the phrase ‘Rain Man”. Raymond is devoid of emotional and social intelligence. He is limited to mechanistic cognitive intelligence and is a fine example of what one looks like without the other.

This chapter reminds us that the right hemisphere not only constructs our sense of self, but it also facilitates the construction of other selves, which allows us to empathise with others. It also allows us to assess intent. It allows us to see the value of the whole of society. Of which we are parts rather than thinking that we are simply parts that make up the whole. This is an important distinction. This is what happens with the ego of the left hemisphere denies the Gestalt of the right.

Cognitive intelligence

This second chapter on intelligence focuses on the cognitive variety. It’s what we think of when we consider IQ scores and such. It’s the reasoning part of the brain. It’s about rote learning and reciting trivia and perceived facts as re-presented by the left hemisphere.

Creativity

In this chapter on creativity, we are told that this is a right hemisphere function. To be creative, the best advice to keep the left hemisphere from engaging and interrupting. Creativity comes to us holistically. It is not the result of a process. It is an absence of process. Thinking and analysis are the antitheses of creativity. This is a case where less definitely is more.

What schizophrenia and autism can tell us

Each of the chapters touches on aspects of schizophrenia and other mental illnesses and situations where the hemispheres get disconnected or out of whack. In this chapter, Iain drives the point home with a focus on these cases and what it can tell us about these neuro-atypical conditions.  

People assume that schizophrenics and autism spectrum people are irrational, but this is precisely incorrect. In fact, it’s the opposite. These people are hyper-rational at the expense of empathy and social intelligence. It’s not a surprise that we are seeing more schizophrenics these days. Neither is it a surprise that we see a modern society that more and more resembles schizophrenia. But I digress.

Summary

This was only meant to give a high-level vantage to connect the chapters of part one of The Matter with Things. I give more comprehensive summaries on my blog. This will give you more of an idea, but my recommendation is to read the book itself as well as The Master and His Emissary which I recommend reading first. Don’t be like me. 

The Matter with Things: Chapter Eight Summary: Creativity

Index and table of contents

Intro

Creativity is the eighth chapter of Iain McGilchrist’s The Matter with Things.

In the last chapters, the topics were about different intelligences. As we’ll see, intelligence is one of the factors for creativity, but there are more. Let’s crack on.

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Content

Creativity is an elusive phenomenon that cannot only not be summoned at will, the very act of trying inhibits it. Unlike left-hemisphere-oriented intelligence, there are no simple tests for creativity because of their very nature. Assessing the left-hemisphere is relatively simple because it is systematic and any tests have definite known solutions—whether calculating some figure, solving a puzzle, choosing analogies, or recounting some trivia. There is no such test for creating something not yet created, but there are some proxies that most people categorically fail.

Psychologist, Colin Martindale, had this to say about the personal characteristics of creativity

“Creativity is a rare trait. This is presumably because it requires the simultaneous presence of a number of traits (e.g., intelligence, perseverance, unconventionality, the ability to think in a particular manner). None of these traits is especially rare. What is quite uncommon is to find them all present in the same person.”

— Colin Martindale

Whereas the left hemisphere is analytical, the right hemisphere (hence creativity) is a Gestalt. When given a difficult time-boxed challenge, the left hemisphere dominant individual who does not arrive at the expected response on time will commit to and defend an incorrect response (think escalating commitment), and the right hemisphere dominant individual will simply not commit to a response under the thought that there were still options to be explored.

Effectively, creativity can be broken down into three phases: preparation, incubation, and illumination.

In essence, for the creative individual, the best we can do is to leave well enough alone. Anything but space and permission will kill the creative impulse.

Preparation is simply the accumulation of a particular domain of knowledge. For an artist, it will be to understand, perhaps, colour, shape, texture, form, shadow, media, or so forth; for a musician, it might be to understand melody, harmony, tempo, timbre, dynamics, and so on; for a mathematician, it might be basic arithmetic, theories, proofs, and on and on. It’s also important to note that accumulated information in multiple domains also forms a foundation leveraged by many polymaths.

Incubation is simply waiting for something to grow in the prepared garden. Incubation is an unconscious activity and cannot be controlled or accessed by the conscious mind. In fact, conscious effort and introspection will serve only to impede cultivation. Digging up planted seeds to see how they are growing will only hinder the process.

Illumination is the final phase. Again, this is unwilled. Prepared and incubated flowers bloom. Of course, this is an imperfect metaphor because the ground must already have been fertile at the start. Tossing seeds on fallow ground still yields no blooms no matter how carefully attended.

In essence, for the creative individual, the best we can do is to leave well enough alone. Anything but space and permission will kill the creative impulse.

McGilchrist discusses generative, permissive, and translational requirements.

“The key element in generation seems to be the ability to think of many diverse ideas quickly, demanding breadth, flexibility and analogical thinking – seeing likeness within apparent dissimilarity.” This can be summed up as divergent thinking. This is the openness afforded by the right hemisphere as opposed to the convergent behaviour of the left. As it happens, this is where artificial intelligence falls flat as it is predicated on convergent activity.

The right hemisphere Gestalten surveys the environment and notes otherwise unperceived parallels. It is not a systematic approach. In the words of Oscar Wilde, “Education is an admirable thing. But it is well to remember from time to time that nothing that is worth knowing can be taught.”

“Talent hits a target no-one else can hit;
genius hits a target no-one else can see”.

Arthur Schopenhauer

Schopenhauer sums it up nicely, “Talent hits a target no-one else can hit; genius hits a target no-one else can see”.

Citing Isaac Asimov writing about Darwin’s insight, he notes that before Darwin, many people had read Malthus and studied species, but they lacked the creative spark that Darwin had.

Steve Jobs noted that

“Creativity is just connecting things. When you ask creative people how they did something, they feel a little guilty because they didn’t really do it, they just saw something. It seemed obvious to them after a while. That’s because they were able to connect experiences they’ve had and synthesize new things … A lot of people in our industry haven’t had very diverse experiences. So, they don’t have enough dots to connect, and they end up with very linear solutions without a broad perspective on the problem. The broader one’s understanding of the human experience, the better design we will have.”

— Steve Jobs

This is a failing of the business world and of specialisation more generally. McGilchrist writes, “Linear approaches and analytic thinking, characteristic of the left hemisphere, are fine in the right context, and may at a subsequent phase take part in creativity by narrowing things down and eliminating some of them, but on their own will not achieve creativity”.

There is a direct link between intelligence and creativity. Ego crushes creativity.

There is a direct link between intelligence and creativity. Ego crushes creativity.

He again cites Asimov:

“My feeling is that as far as creativity is concerned, isolation is required. The creative person is, in any case, continually working at it. His mind is shuffling his information at all times, even when he is not conscious of it …The presence of others can only inhibit this process, since creation is embarrassing.”

— Isaac Asimov

Some people excel at maths, but many are systematic and procedural left-hemisphere types; they apply logic and reason—insert tab A into slot B. The famous mathematicians understand the procedures, but their ideas come from intuition rather than reason. The left hemisphere doesn’t recognise this as a viable vector, and therein lies the rub. “Math is not about following directions; it’s about making new directions,” writes mathematician Paul Lockhart.

This is why we hear so many accounts of aha moments, something coming to one person in a dream or Isaac Newton’s falling apple anecdote.

“These thoughts did not come in any verbal formulation. I very rarely think in words at all.
A thought comes, and I may try to express it in words afterward”

Albert Einstein

Einstein told Max Wertheimer, founder of Gestalt psychology, “These thoughts did not come in any verbal formulation. I very rarely think in words at all. A thought comes, and I may try to express it in words afterward”. Words are a left-hemisphere phenomenon.

Many accomplished musicians hear a piece whole. All they need to do is to compose it to staff paper or perform it. We hear this regularly: “I was driving from here to there and it just came to me. All I needed to do is to remember it long enough to get it down.”

I found McGilchrist’s inclusion of hemispheric damage quite interesting. He provides many examples of artists, composers, and poets, but I’ll only summarise them. For musicians and Artists with right hemisphere damage, those who even retained the urge to create did so at a lower quality level. However, those with left hemisphere damage operated at the same level and oftentimes at a higher level, without the inhibition and censorship of the left hemisphere.

It’s important to note that most people rely on both hemispheres. When I write left hemisphere dominant, I mean to say that either the right hemisphere simply underperforms or that the left hemisphere does not cede control back to the right hemisphere. Generally speaking, both hemispheres experience the world, and a strong right hemisphere will act as air traffic controller, or perhaps have the right of first refusal, but this is a loose metaphor because sometimes the left hemisphere just fields an experience and takes its best guess how to handle it even if it should have been fielded by the right hemisphere and even if the left hemisphere provides the wrong answer. The left hemisphere is the hemisphere of the ego and identity, so it is somewhat relentless and defensive even when it is wrong.

As a side note, I trust that political identity and escalating commitment are left-hemisphere activities and why modern Western politics feel so intractable.

After a strong argument for right hemisphere dominance and divergent thinking being hallmarks of creativity, he offers some counter-evidence and counters some of it.

A paper by Arne Dietrich and Riam Kanso co-authored a book citing instances of convergent thought processes that led to something innovative or creative. At the onset, McGilchrist calls them out for conflating problem-solving with creativity. In the end, the left hemisphere does play a role. He calls this the translational phase. Essentially, this is Mozart having heard his symphony and needing to put his thoughts to paper. Or the poet.

He goes off on a bit of a tangent noting how words pale concepts, and divergence and convergence are no exception. This fits in with my own insufficiency of language theory, but McGilchrist and I have different rationales for our arguments, so I’ll not side-track this summary.

He cites some statistics correlating creativity with mental health disorders and incidences of suicide. This will set the reader up perfectly for the next chapter about schizophrenia and autism.

Perspective

In summary, creativity has got me riled up more than in the previous chapters. This is partially due to how it comports with my own observations. I have always felt that humans are not very creative or innovative despite protests to the contrary. In fact, I’ve often commented when I’ve heard people say something like “artificial intelligence will never create the next…” Fill in the blank: Mozart, Picasso, Michelangelo, Nabokov, Wordsworth. Or Einstein. Of course, neither will a human be the next of these.

All these people are right cerebral hemisphere dominant. AI operates systematically, in the manner of the left hemisphere. None of these people built up systematically. Instead, their ideas were wholly formed, and their creations were reductive rather than additive. Famously, Michelangelo was to have said, “The sculpture is already complete within the marble block before I start my work. It is already there. I just have to chisel away the superfluous material.” He sees the solution first and then builds towards it.

In my professional life, I have been a strategist as a management consultant as well as a business analyst. In each case, I could quickly assess a situation and then spend weeks or months defending my intuition with words, diagrams, and numbers.

As a business analyst, I would offer a recommendation, and this would need to come with an estimate to deliver the recommendation. This figure would come to me in a matter of minutes. Then, per protocol, I would need to enter micro-level details into a pricing model so it could calculate from the ground up. First, this was time-consuming. Second, this would be circulated for review where different people would (almost invariably) reduce the number of hours estimated, typically due to pressure to reduce the cost. Ultimately, a number would be output and tendered to the client or the person footing the bill. Again (almost invariably), the number initially intuited was more accurate and reflective of what was ultimately invoiced. Unfortunately, business is a left-hemisphere endeavour, and that will be its Achilles’ heel and denouement.

This wraps up the chapter on Creativity. The next chapter is “what schizophrenia and autism can tell us”, and is the end of part one of The Matter with Things.

What are your thoughts and experiences with creativity now that you’ve heard McGilchrist’s take?

Leave comments below.

The Matter with Things: Chapter Seven Summary: Cognitive Intelligence

Index and table of contents

Following Emotional and Social Intelligence and the rest, Chapter 7 of The Matter with Things is Cognitive Intelligence.

In the last chapter, we learned that Emotional and Social Intelligence are the provinces of the right hemisphere. In this chapter, we discover more of the same. Whilst the left hemisphere has its duties and functions, it’s primarily a delegate. Let’s jump right in.

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Under the old pseudoscientific mode of thinking, the left hemisphere was the logical side whilst the right hemisphere was creative. It turns out that this is not correct.  At its core, intelligence is about understanding. Keep in mind that there are multiple kinds of intelligence—not referring to multiple intelligence theory, per se. Besides the emotional and social sort discussed at length in the last chapter, there is a sort of rote intelligence. This is where the left hemisphere excels. The left hemisphere is symbolic and algorithmic. It has facilitated the making of computers and other instruments that allow us to extend our intelligence, but these are not sources of intelligence. In a conceit to his previous book, The Master and His Emissary, McGilchrist notes that the left brain is effectively the emissary, the junior partner in the relationship, and not really even a partner as the right hemisphere seems to call all the shots when it’s intact.

He tells a story about a geneticist who declared to a biologist that the notion of intelligence was quite meaningless. The biologist retorted that he (the geneticist) was unintelligent, and the two never spoke again. Clearly, the notion is that whilst it may be ill-defined, it nonetheless contains meaning.

I share the working definition of intelligence that he shared, taken from the journal Intelligence and cited in the Wall Street Journal in 1994.

Intelligence is a very general mental capacity which, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly and learn from experience. It is not merely book learning, a narrow academic skill, or test taking smarts. Rather, it reflects a broader and deeper capability for comprehending our surroundings – ‘catching on’, ‘making sense’ of things, or ‘figuring out’ what to do.

As noted, there are several flavours of intelligence, even if they are attempted to be captured as G, general intelligence. This can be separated into crystallised intelligence (Gc) and fluid intelligence (Gf). Crystallised intelligence is more culturally bound than fluid intelligence and is more the domain of the left hemisphere. Generally, this is what IQ tests aim to measure.

Two criticisms of IQ tests are the cultural bias and the rote nature of the tests. As it happens, trends show that IQ is generally on the rise despite a feeling that people are getting dimmer. This may be because this rise represents the shift toward left hemisphere thinking, an alarming topic he’ll cover more in future chapters. We’re witnessing a trade-off between creative thinkers for intelligent rote automatons—the type of people more easily supplanted by computers and automation. Even as IQs are apparently increasing, undergraduate professors are complaining in higher numbers about how unprepared their incoming students are. I can add my experience anecdotally to this list. I recall chatting with a physics professor who complained that he had to devote some 20 per cent of his class time to teach students the same prerequisite maths, which meant that he had to cut this from his intended time to teach physics.

As a student, one of my physics teachers said he wouldn’t demerit much for maths errors because this was, after all, a physics course. Again, this was a reaction to many students not being prepared. They just had different approaches to handling the deficits. And don’t get me started on grade inflation.

The right hemisphere is the realm of fluid intelligence and is activated more in gifted persons. This affords creative problem-solving.

The right hemisphere is the realm of fluid intelligence and is activated more in gifted persons. This affords creative problem-solving.

Let me editorialise here in place. Sometimes we hear that this or that person is good at maths, but it turns out that this is not a simple declaration. A person who studies geometry, trigonometry, and calculus and can perform the functions may simply perform all of this rote activity in the left hemisphere. Because someone can do maths a few levels above us may feel like this person is good at maths, but this may not make this person actually good at maths.

A few years ago, I read the introduction to a book whose title I’ve long forgotten. In this introduction, the author had excelled at left hemisphere maths and got his bachelor’s and master’s degrees in mathematics. Whilst pondering whether to pursue a PhD, in a moment of self-reflection, he decided not to. He was an A student and the pride of his family, but he had to work hard at maths. Then he considered some of the other classmates who seemed to perform the tasks effortlessly. He could do maths, but they could think maths.

This reminds me of the story of a young Carl Gauss whilst he was still in elementary school. Don’t worry. I’ll get back to the summary presently. Gauss’ teacher was hoping to keep the students occupied, so he assigned them the task of summing the numbers 1 through 100.

Eight-year-old Gauss considered the problem. He noticed a pattern and worked out the answer in his head after a few seconds—5050. Gauss excelled at maths naturally. He noticed that pairing each ascending integer from 0 to 100 created values of 100; 1 and 99; 2 and 98, 3 and 97 … 49 and 51. There are 50 such groupings with a product of 5,000 and 50 left over, so 5,050. Easy Peezy.

And now we return to regularly scheduled programming.

Another interesting characteristic of the hemispheres is that the left hemisphere operates serially whilst the right hemisphere operates in parallel, metaphorically speaking, of course. The right hemisphere is the Gestalt operator, which is a problem as McGilchrist sees it given the leftward shift in the sciences, losing the woods for the trees. Moreover, as we are forced into the constraints of business and bureaucracies, we are forced into a left hemisphere perspective, which may create a vicious epigenetic cycle or a downward spiral.

Perspective

In summary, the right hemisphere not only contributes to the majority of emotional and social intelligence as discussed in the last chapter, but it is also the workhorse of cognitive power.

Before ending, I want to share one more elucidation. I was reading elsewhere about critical thinking, and an example given was an emergency room nurse triaging patients—prioritising the treatment of patients. I wholly disagree. This is algorithmic thinking, not critical thinking. It could easily be done by a computer. In fact, in the late 1980s, I was working with so-called expert systems, which were the AI hype of the day in wave 3.0. We are now in wave 4.0 and it is still hype. Only nowadays it’s deep learning, machine learning, visual recognition, edge computing, and robotic process automation. The only difference is that technology has driven costs down, so they are more accessible to more people and can be run on more powerful computers. For the uninitiated, there is no intelligence in artificial intelligence. So, it’s less artificial and more non-existent.

Yet again, I am left wondering what this left hemisphere is good for.  It seems to do less than 20 per cent of the work and does half of that poorly. Not exactly someone you’d pick for your team. Of course, I wouldn’t want to sacrifice my left hemisphere, but still.

That about wraps up the chapter on Cognitive Intelligence. Next up is chapter eight on Creativity. If you think this will focus more on the right hemisphere, I’ll bet you’re right. I hope you’ll join me.

What are your thoughts on intelligence and the hemispheres’ split duties? Did anything surprise you? Was there anything of particular interest?

Leave comments below.