Datafication, Phantasmagoria of the 21st Century

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Feminine & Masculine Ways of Knowing – A Deep Imbalance

The following post is inspired by Safron Rossi’s interview on her book about Carl Jung’s views and influence on modern astrology. In the interview, she says:

“One way to approach this point (Jung’s unique contribution) is why is Jung’s work significant in the field of psychology. And for me, I would say that it has to do with the way he attempted to meld together the wisdom of the past with modern psychological understanding and methods of treatment.

The Jung psychology is one that grows organically from traditional understandings, particularly in the realms of spirituality, religion, mythology, and comparative symbolism. And in an era where psychology was becoming increasingly behavioural and rationalistic, Jung insisted on the importance of a spiritual life because that has been the core of the human experience from time immemorial. Why all of a sudden would the spiritual life really not be so important? It’s a really big question.”

What she mentions is central to the argument of my PhD. Suddenly, in the 19th century, at the time of the industrial revolution, the tacit experience and understanding of living became not so important, or rather, not so reliable as a way of knowing. The belief that emotions are clouding the (rational) mind and that the machine was more reliable than humans because it had no messy emotions became the mainstream ideology.

But tacit knowing (i.e. the qualitative knowing that results from embodied experience and which can also be called intuitive knowing) is a fundamentally feminine way of knowing. Instead with the Industrial Revolution, it has been replaced with faith in masculine ways of knowing, so called scientific, but in fact, “mechanistic” more than “scientific”.

As Mikhail Polanyi argues in his books Personal Knowledge (1958) and The Tacit Dimension (1966), tacit knowing is fully part of science. What I call the statistical mindset is a reductionist, mechanistic way of knowing that solely has faith in mechanistic, explicit and importantly, measurable knowledge.

Here, Rossi says that Carl Jung gave (feminine) tacit knowing a place in modern psychology at a time (the time of the industrial revolution) when disciplines such as psychology and sociology were overwhelmed by the statistical mindset that values measurability above all. Examples of this in the field of psychology is the behavioural school, in sociology, Auguste Comte and positivism.

In Europe, the 19th century was the century when women were believed to be too irrational to make important decisions (like voting for example) and it was also the century when purely statistical, measurable pseudo sciences (e.g., the dark science of eugenics) were born; it was the time when the factory line became the model for everything, mass production, but also the health system, the economy, psychology, education etc…

It is important to realise that the rationalisation of the social sciences was not in and of itself a “bad” thing. In a way, it was also a way to bring some degree of rigour to the field, and more importantly, to experiment with what can and cannot be measured. Walter Benjamin talked about the Phantasmagoria of an age, i.e., the set of belief system that underlies the development of thought during that period of time. Measuring, fragmenting the whole into parts, analysis, control over the environment were all part of the phantasmagoria of the Industrial Revolution and the Modern Age. All disciplines went through this prism (including Design, I may do a post on this later). Jung melded WISDOM into MODERN PSYCHOLOGY, which was very unusual at the time.

Statistical knowledge is predictive knowledge. We use statistics to know something that will happen in the future, like the likelihood of a weather event to happen, or market movements, or usage of public transport etc… It is the best knowledge we have to OPTIMISE, when the values of EFFICIENCY and convenience are primordial (like in urban or business planning for example). It is founded on the masculine principle trait of linear logic (if A and B, then C), and on the equally masculine principle trait of goal orientation (Jung’s definition of masculinity: know what you want and how to go and get it).

This is not in and of itself bad or good, there is no value judgement here. Again, it is not a matter of superiority (which is a masculine concept, i.e., fragmenting and analysing by setting up hierarchies), but of BALANCE. Today, we live in a world (more specifically, the geographies at the centre of power) where feminine ways of knowing, which emphasise regeneration, intuitive insights, collaboration, inter-dependencies and relationality are not trusted and are suppressed, often in the name of science.

Living systems function on the principles of feminine ways of knowing. But it is not really science itself that smothers feminine ways of knowing, it’s the reductionist mechanistic mindset (and the values of efficiency and optimisation) which is applied to areas of life and of living experience where it has nothing to contribute.

As I argue in the PhD, while digital technologies are indeed revolutionary in terms of the MEDIUM they created (algorithmic social platforms), from the point of view of the belief system that underlies them, they in fact perpetuate an outdated mindset (described above) which serves the values of efficiency and optimisation with a disregard for life.

Datafied. A Critical Exploration of the Production of Knowledge in the Age of Datafication

This is the abstract of my PhD submitted in August 2022

As qualitative aspects of life become increasingly subjected to the extractive processes of datafication, this theoretical research offers an in-depth analysis on how these technologies skew the relationship between tacit and datafied ways of knowing. Given the role tacit knowledge plays in the design process, this research seeks to illuminate how technologies of datafication are impacting designerly ways of knowing and what design can do to recalibrate this imbalance. In particular, this thesis is predicated on 4 interrelated objectives: (1) To understand how the shift toward the technologies of datafication has created an overreliance on datafied (i.e., explicit) knowledge (2) To comprehend how tacit knowledge (i.e. designerly ways of knowing) is impacted by this increased reliance, (3) To critically explore technologies of datafication through the lens of Walter Benjamin’s work on the phantasmagoria of modernity and (4) To discover what design can do to safeguard, protect and revive the production of tacit knowledge in a world increasingly dominated by datafication.

To bring greater awareness into what counts as valid knowledge today, this research begins by first identifying the principles that define tacit knowledge and datafied ways of knowing. By differentiating these two processes of knowledge creation, this thesis offers a foundation for understanding how datafication not only augments how we know things, but also actively directs and dominates what we know. This research goes on to also examine how this unchecked faith in datafication has led to a kind of 21st century phantasmagoria, reinforcing the wholesale belief that technology can be used to solve some of the most perplexing problems we face today. As a result, more tacit processes of knowledge creation are increasingly being overlooked and side-lined. To conclude this discussion, insights into how the discipline of design is uniquely situated to create a more regenerative relationship with technology, one that supports and honours the unique contributions of designerly ways of knowing, are offered.

Fundamental principles framing Grounded Theory are used as a methodological guide for structing this theoretical research. Given the unprecedented and rapid rate technology is being integrated into modern life, this methodological framework provided the flexibility needed to accommodate the evolving contours of this study while also providing the necessary systematic rigour to sustain the integrity of this PhD.

Keywords: datafication, tacit knowledge, phantasmagoria, regeneration, ecology of knowledge

Chris Jones – Designing Designing

A few words from John Thackara (who wrote the afterword of Chris Jones “Designing Designing”) on Chris Jones’ mission and philosophy (the full post can be found on Thackara’s blog).

As a kind of industrial gamekeeper turned poacher, Jones went on to warn about the potential dangers of the digital revolution unleashed by Claude Shannon

Computers were so damned good at the manipulation of symbols, he cautioned, that there would be immense pressure on scientists to reduce all human knowledge and experience to abstract form

Technology-driven innovation, Jones foresaw, would undervalue the knowledge and experience that human beings have by virtue of having bodies, interacting with the physical world, and being trained into a culture. 

Jones coined the word ‘softecnica’ to describe ‘a coming of live objects, a new presence in the world’. He was among the first to anticipate that software, and so-called intelligent objects, were not just neutral tools. They would compel us to adapt continuously to fit new ways of living. 

In time Jones turned away from the search for systematic design methods. He realized that academic attempts to systematize design led, in practice, to the separation of reason from intuition and failed to embody experience in the design process.”

All of the above ring very true today. The reductionist approach to knowledge, the general disdain for the richness of human knowledge and experience, the widespread contempt for embodied knowledge, the radical separation of reason and intuition, the hidden shaping of a new belief system around the superiority of rational machines, the invisible but violent bending of human friendly ways of living to fit machine dominated new ways of living.

Regulation & Regeneration

In the context of an economic environment deficient in self-regulation (also called wisdom), is there a space for outer regulation in Regenerative spaces?

This question was triggered by Musk purchase of Twitter. Since in regenerative communities, we are using metaphors from nature, the take-over of a global platform that carries a massive chunk of the global public debate, which algorithms are opaque and is known to influence the result of elections by a self-professed libertarian billionaire who has clearly indicated that he wants to restore “free speech” (whatever that means) on the platform and who is known to use it for self-serving purposes is a bit like a human-produced toxic algae bloom spreading on live water habitats and killing all life. Never enough seems to qualify the initiative appropriately.

So, in this context, I was wondering about regulation. Living systems, when left to their own device, self-regulate. This is what I would see as “inner regulation”, or in human terms, “wisdom”. I don’t think it would be overly pessimistic to think that inner regulation is found in (very) limited quantity right now in our social and economic environments.

So what about outer regulation? There are many ways outer regulation functions, from the traditional prescriptive approaches to softer ones that involve sway and incentives. Design as a discipline employs the latter ones all the time. I was thinking it is an important discussion to be had in the context of a community focused on Regenerative Economics because many projects start with the best of intentions and fall prey to unintended consequences.

And I am also interested to hear from those of us who have direct experience in designing regulation frameworks in the complex systems that are online communities who share the same purpose. Do we combine incentives for inner regulation with outer regulation, and if so, how? Do we leave it to the invisible hand? I would love to hear different voices chime on this topic.

Web3 Analysis by Moxie Marlingspike

A must-read blog post by Moxie Marlinspike, founder of Signal, sharing his thoughts on Web3.

The basic argument is that although Web3 concept is for decentralization of internet away from platforms, practically it has just reverted back to Web2 (centralized internet) with only superficial trappings of decentralization.

His points:
1) Blockchain and “crypto” (as it’s now commonly referred to meaning blockchain/cryptocurrency rather than the original meaning “cryptography” aka encryption) is discussed in terms of “distributed” and “trustless” and “leaderless”. One might think that this means that every USER involved is a peer in the chain. But practically it’s not about USERS, it’s about SERVERS. The distributed nature is based on SERVERS, not what Moxie calls “clients” (aka YOUR computer, YOUR phone, YOUR device). So the blockchain concept is supposed to follow distributed trustless and leaderless methods between SERVERS. The problem is that your phone is not a server. Your computer is not a server. Your devices are not servers. All of your devices are END-USER devices. Very few people will actually be setting up, running and maintaining their own server. It’s difficult, requires technical knowledge, and time consuming and costs money to maintain.

So what actually ends up happening is that the whole interface of Web3 turns to: Blockchain <-> Servers <-> End-user client devices. And the problem with Web3 so far is that all the end-user interaction with the blockchain has now consolidated to very few servers, aka returned to the phenomenon of platformisation (which describes how Web2 platforms decentralised their API throughout the entire web to centralise data back to their servers in the 2010s). As of now, most of the Web3 “decentralised apps” interact with the blockchain through two companies called Infura and Alchemy. These two companies run the servers in between blockchain and end-user client devices. So if you are using MetaMask and do something with your cryptocurrency wallet in MetaMask, MetaMask will basically communicate to Infura and Alchemy who then communicate with the actual blockchain.

His two sub-complaints to this are:
A) Nobody is verifying the authenticity of information that comes from Infura / Alchemy. There is currently no system in place on the client side (aka MetaMask on user side) to ensure that what information Infura / Alchemy returns to the end-user is actually what is truly on the blockchain. Theoretically if you have 5BTC in your wallet on the blockchain, and you load up MetaMask to query the balance in your wallet, MetaMask might contact Infura / Alchemy requesting your BTC balance and Infura / Alchemy can respond to say you have 0.1BTC. MetaMask won’t verify if that’s actually true, it’s just taken at its word.
B) Privacy concerns with routing all requests via Infura / Alchemy. Moxie’s example is: imagine every single web request you make is first routed through Google before being routed to your actual intended destination.

2) He gives the example of how NFTs are in fact just URLs stored on the blockchain. And these URLs point to servers hosting the actual content. So when you buy an NFT, you only own the URL on the blockchain that DIRECTS to the artwork, NOT the “artwork” itself. He did an exercise where he made an NFT that looks like a picture when viewed through OpenSea, but looks like a poo emoji when accessed via someone’s crypto wallet. Because ultimately the server hosting the image (to which the URL on the actual blockchain points to) is ultimately in control of the artwork.
Even worse, his NFT ended up being deleted by OpenSea. But somehow his NFT ALSO stopped appearing in his wallet. How is this possible? Even if OpenSea deletes the NFT from their website, the NFT should still be on the blockchain, right? Why doesn’t it still show up in his wallet? Well he says that due to this centralisation of supposedly “de-centralised” apps, his wallet is in fact communicating not with the blockchain directly, but through a few centralised platforms (one of which is OpenSea). So because OpenSea deleted his NFT, his wallet also no longer shows the NFT. It doesn’t matter that his NFT still belongs to him on the blockchain if the whole end-user system is totally divorced from the blockchain and instead reliant on the middle servers.

3) Finally, he is saying that Web3 as we know it now is really just Web2 with some fancy “Web3” window dressing. And the window dressing actually makes the whole system run worse than if it just stuck to pure Web2. But why force the window dressing? Simply to sell the whole thing as a next generation Web3 package as part of what he calls a gold rush frenzy over Web3.

Raising Consciousness & Spiral Dynamics®

Sunday Morning Musings on Raising Consciousness and Spiral Dynamics®.

I always have a problem with the term “raising consciousness”; first because there’s something subtly arrogant and hubristic about it, it presupposes that A) I, as a person, know exactly at what level everybody else is (rather unlikely), and that B) some are below me and they need to be lifted to my level. 😅😔 This is the vertical hierarchy of values underlying the mentality of colonisation, eugenics and commodification. God at the top, me and those like me just below, and the rest needing to be enlightened (or exploited) below me.

But also because it implies a view of the world that is imbued with the idea of infinite progress. This idea is so deeply pervasive to the western civilisation that we do not even question its validity. It’s important to do so though, because infinite progress is also the idea that validates a related concept: infinite growth. But while a beautiful concept, infinite progress is as unlikely as infinite growth. Progress is not a core idea to eastern philosophies or indigenous wisdom.

This goes back to the core of the Spiral Dynamics® model and how it’s been incorporated in philosophies and ideologies that have progress as their core value. As I understand it, Clare Graves developped his ECLET model not out of a concern with moving humanity up the hierarchy of values. He was more concerned about alignment within each level. His enquiry happened during a period of time when Maslow’s work became mainstream and the pyramid became an icon, but his question was very different. His driving metaphor was not the pyramid (a useful but somewhat basic shape). He was focusing on complexity, and more precisely, on the alignment between complexity in the environment and the capacity to deal with that level of complexity in one’s mind.

To reflect this balance, he did not use colours (which simplify but obfuscate important aspects of the purpose) but a set of two letters to describe the levels. AN for beige, BO for purple, CP for red, DQ for blue, ER for orange, FS for green, GT for yellow and HU for turquoise. One letter represented level of complexity in the environment and the other ability to handle complexity. “Capacity to handle complexity” is absolutistic for DQ (either-or, good/bad, us/them), pluralistic for ER (there is a range of different possibilities and I choose what’s the best one for me), contextual for FS (it all depends on context) and probabilistic for GT. He also said that from his research (and the research of some of his students after his death) very (VERY) few people were truly aligned at the second tier although higher tiers are attraction points for personal projections from lower levels. In other words, from an ER point of view, GT looks extremely sexy, and DQ will tend to see oneself as FS.

He wrote that a person would lead a more coherent and more fulfilled life if he or she was aligned at their level, regardless of where that level stood in the hierarchy of value. This model underlies his theory of change: when someone whose ability to handle complexity is thrown into a more complex environment, there is a transition period to adapt to the new levels of complexity. Similarly, one can be thrown to a lesser complex environment by life circumstances (say in the case of civil war for example when survival becomes key), and one’s ability to handle complexity can also go from more to less (as in the case of illness affecting cognitive faculties for example). There was no inkling of the desirability of a vertically upward moving progress in his work, and no mention of consciousness. For him progress was synonymous with alignment. It’s only later that his model was simplified into colours and it became easy to integrate into an integralist view of the world that takes vertical upward progress as its core value.

So, I would propose that we need new metaphors and a new vocabulary to replace “raising consciousness” which presupposes a vertical upward moving hierarchy. Metaphors and language that flatten vertical hierarchies into multidimensional complex networks. Fractals instead of pyramids. And then (and this is where the hard work begins! 😅😜), we need to fully integrate those metaphors and language, to get so familiar with them that they become like a limb, a full part of us and how we see the world. And maybe then, only then, will we have opened our “consciousness” enough to realise that what we projected onto the world was all within ourselves. Until then, it is probably safer to see ourselves on the less evolved side of the spectrum. 🙃

Legal Frameworks

I had an interesting discussions with folks in a “Using the Law for Regeneration” call yesterday. We touched upon legal frameworks needing to shift in response to once in a century technology-induced shifts in the larger system.

In 2022, we are at a point not dissimilar to the late 19th century when the industrial revolution was profoundly changing how people lived, worked, and thought. We are only starting to realise that digital technologies have created an unprecedented universe which we inhabit but are only starting to fathom. Unprecedented is the keyword. In many ways, we still hold attitudes and beliefs coherent with the pre Web 2.0 and pre data economy world. Our legal frameworks are also lagging and playing a “blindfolded in a forest” catch up game. Legal frameworks are not neutral. Like all systems within a system, they are cultural artefacts. They carry with them the ideological assumptions and beliefs of the age and place they emerge from.

I came across the following article which illustrates the conundrum and raises questions around privacy. However, more importantly, in the larger scheme of things, this article is really about what it means to be an individual in the digital 21st century. To summarise the article (who has time to read one more article or watch one more video? 🙃), a US federal appeals court ruled against LinkedIn in favour of data analytics firm hiQ allowing hiQ to keep scraping data off LinkedIn. The court discounted the argument that “LinkedIn users have an expectation of privacy in a public profile”, and concluded that this was justified because the survival of hiQ business was threatened. In other words, the US court concluded that business survival trumps privacy.

In the article “What Economists Get Wrong About Climate Change”, Steve Keen argues that many economists get climate change wrong because they have a reductionist view of climate, mistaking it with weather temperatures instead of seeing the intricate interconnection between natural phenomena, life and economic activity. According to Keen, some even argue that the impact on climate change on the economy will be minor because most of the economic activity takes place indoors. As the saying goes, “when a finger points to the moon, which do you look at?”

Similarly, the conclusion of the ninth circuit court ignores the larger picture. By endorsing data scraping, an extractive activity par excellence, it gives legal teeth to the extractive aspect of the online universe. The concept of an unalienable individual is the building block of the liberal order. In the “real” world, it is a scaffold for legal frameworks (at least in some countries). The building block of the data economy is data. In datafied worlds, law is not law, code is law (the title of an article by legal scholar Lawrence Lessig in 2000).

There is a gap that legal frameworks in different countries are only starting to fill with more or less success. These initiatives clearly show two things: 1. much of the debate is in fact a debate on values, and 2. it crazy complex! 🙃 because when prescriptive regulation or softer incentives are set up, they end up affecting the whole system. It seems to me that, as regenerative thinkers and practitioners, this is an important topic that needs to be considered.


The Dark Side of AI

I came across this article in the Financial Times yesterday (March 19 2022) on the Dark Sides of Using AI to Design Drugs by Anjana Ahuja.

Scientists at Collaborations Pharmaceuticals, a North Carolina company using AI to create drugs for rare diseases, experimented with how easy it would be to create rogue molecules for chemical warfare.

As it happens, the answer is VERY EASY! The model took only 6 hours to spit out a set of 40,000 destructive molecules.

And it’s not surprising. As French cultural theorist and philosopher Paul Virilio once said, “when you invent the ship, you invent the shipwreck”. Just like social platforms can be used both to connect with long lost friends AND to spread fake news, AI can be used both to save lives AND to destroy them.

This is a chilling reminder about the destructive potential of increasingly sophisticated technologies that our civilisation has developed but may not have the wisdom to use well.

Web 3.0 Hype & Healthy Critical Thinking

In an article published by Cigi (Centre for International Governance Innovation) on January 14, 2022, ethics in AI professor and researcher Elizabeth M. Renieris reminds us that “without a critical perspective, familiar harms will not only be replicated; they will be exacerbated.”

https://www.cigionline.org/articles/amid-the-hype-over-web3-informed-skepticism-is-critical/

Learning from the past and applying those lessons requires a critical perspective. Without such perspective, proposed “solutions” can only be cosmetic, papering over root causes. Computational or technological attempts to “decentralize” power without addressing the social, political and economic enablers of concentrated power and wealth, such as decades of neo-liberal policies predicated on the illusion of individual choice and control, are bound to fail.”

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