When we consider the future of knowledge, we must consider whether something like knowledge can exist without a human mind to grasp it.
Some would argue that without interacting with consciousness, it is possible to have data and even information, but not real knowledge. Such a view flies in the face of the normal way we think about knowledge. What are the contents of Amazon’s massive databases and the forty million Wikipedia articles if not knowledge, abstracted from the human mind? And more intriguingly, would a next-generation artificial intelligence be said to possess knowledge?
Getting a Handle on Tacit Knowledge
For many of us, the word “knowledge” conjures up images of books, libraries and ancient Greek scrolls. But these images betray a certain lopsidedness in our understanding. In the 1960s, Michael Polanyi published a small but highly influential book called The Tacit Dimension, in which he introduced the concept of tacit knowledge. One way to explain tacit knowledge is that it is embedded within our bodies in subconscious ways that are impossible to explain. To learn how to ride a bike, you can read a book about it, but the only way to really embed that knowledge is through the experience of riding a bike. Polanyi contrasts tacit knowledge with what he called explicit knowledge, the kind we can not only explain, but even embed in our books, libraries and ancient Greek scrolls.
I shall reconsider human knowledge by starting from the fact that we can know more than we can tell. — Michael Polanyi
A closer reading of Polanyi’s ideas makes it clear that tacit knowledge isn’t just about bodies knowing how to do certain things like drive a car or play patty cake. To get to this deeper aspect of tacit knowledge, we need to understand what Polanyi meant by its ‘proximal’ and ‘distal’ aspects. Proximal means ‘close’ while distal means ‘distant.’ The proximal aspect of tacit knowledge is that knowing which is so close to us that we don’t know it consciously.
Polanyi’s insight goes deeper than this though. The way we see an object or even think of an idea exhibits these same tacit qualities. When you learn to do long division, you are embedding certain mental processes into the neurological structure of your brain. Can you divide 4,025 by 25? Sure you can, and you are conscious of the distal aspect of that knowledge. But do you know how those neurons are firing in your head in order to carry out that division? No, because you are unaware of the proximal aspect of this tacit knowing.
In order to achieve the distal aspect of tacit knowledge, we have to go through its proximal aspect. Or as Polanyi put it: we attend to the distal by attending from the proximal.
Tacit Artifacts and Ideas
Our ability to absorb this dual-nature of tacit knowledge isn’t limited to the way we use our bodies or physical artifacts. We also tacitly embed ideas. I can learn that the Earth orbits the Sun and incorporate that inner, proximal knowing of the order of things in such a way that I eventually conclude that the world is not flat. Polanyi saw that by interiorizing knowledge, we make it a part of us that we can then extend to pursue new distal applications of it. He saw humanity as forever chasing a kind of “hidden unknown” or “gradient of understanding” through which we steadily increased our knowledge over time.
We attend to the distal by attending from the proximal.
Knowing Through Embedding
So how does all this stuff about tacit knowledge tie back to our original question about the future of knowledge? Is it possible to have knowledge without having human consciousness in the mix? What Polanyi was telling us with his observations about tacit knowledge is that the act of knowing something is a kind of embedding of that knowledge within our bodies. The distal knowing of some fact is embedded within the proximal knowing of our neural firing patterns.
It would be a mistake, however, to conclude that the only knowledge that counts is that which we embed within our neurons. If that were the case, the only way we could accelerate our mastery of knowledge would be to somehow turbocharge the organic matter of our brains so that its proximal patterns of neuronal firings could retain and process knowledge more efficiently. Kind of like a download that suddenly allows Neo to know kung fu.
No, Polanyi’s insights allow for a much more powerful role for the incredible artifacts that we are now building to extend our minds.
So what role will machines play in the way human knowing unfolds? In the future of knowledge itself?
The only way we really learn to use a steering wheel to make a turn, back into a parking space or handle the slippery surface of a snowy day is to actually experience these things. Similarly, the only way to know long division is to practice long division, just as the only way to know how to work with artificial intelligence will be to work with artificial intelligence.
As I write these very words, the movement of the pen in my hand flows as though it had a mind of its own. This was not always the case, however. Like most of us, as a child, I struggled to hold a pen and eke out legible script. It took a lot of volition to master that skill. Over time the distal goal of penmanship, which I made possible through the proximal goal of coordinating muscle and sinew in my hand, somehow faded into the background. As I gained the tacit, embodied knowledge of how to use a pen, its nature changed from distal to proximal. Now I no longer notice the proximal, hidden aspect behind the new distal goal of harnessing my penmanship in order to bring these ideas to you.
Embedding Knowledge in Machines
The key to understanding how machines fit into this picture is to see how we use them as a kind of “container of collective intelligence.” We use machines today much as we once used hieroglyphics and still use manuscripts and books in order to extract knowledge from one human mind and embed it in a medium that can be easily accessed by others.
A lot of work goes into making machines and the software that runs them. A small group of people design and engineer products that are then made available to the many. That knowledge of how to make that hardware and software is now embedded in the collective human intelligence and freely available, as a kind of proximal tacit knowledge that can be used to create more knowledge. Just as my learning to write with a pen as a child contributed to my sharing this piece with you today. In both cases, knowledge gets embedded in such a way that it allows me to transform it into some new, higher-level goal.
What it means to know is something that we began extending long ago by putting our thoughts in clay, papyrus and paper. We are constantly integrating this ability to embed knowledge in new types of external storage with the new and ever-expanding range ideas that each new container enables. Machines are simply the latest container for storing the proximal aspect of what it now means to know.
The Future of Knowledge
Artificial intelligence will soon infuse much of our waking life. It will change the way things work beyond anything we currently imagine. And still, the fundamental, underlying reality will remain. We will use these new containers as part of our ongoing creative unfolding. Our volition and creativity, coupled with the clarity to know what we want, will continue to be what ‘pushes’ these new systems into motion. Learning to work with these systems will be the latest proximal learning that we use to reach new, and ever more creative, distal goals.
The only thing that could change that — that would change that — would be if these systems were to one day develop a kind of volition all of their own. There is no real understanding today of how something like that might come about. But if it did, humanity would need to completely change its understanding of the way that knowledge is formed.
Modern physics tells us that consciousness is what transforms waves of possibility into what we experience as physical reality. Perhaps it is the case that human consciousness plays a similar role in transforming information’s potential for being known into the objective phenomenon that we call knowledge. If so, in a world with machine-based volition, humanity would no longer be the primary consciousness precipitating knowledge out of experience.
3 thoughts on “Can Knowledge Exist Without a Human Mind?”
Can Knowledge Exist Without a Human Mind?
It already exists in nature. DNA for example has any number of knowledge attributes: facts, information, and skills acquired by a person through experience or education; the theoretical or practical understanding of a subject. Just take the person out of it, making it more general – unless someone wants to engage in the usual stupid and easily dealt with petty literal semantics – only the human mind can have knowledge. Then what about god, etc.
On the philosophical aspects of this essay, it might be interesting to check out what you get when you Google for “ontology of ignorance” and “ontology of consciousness”.
On the more technical site, esp. wrt to “Embedding Knowledge in Machine”, some related thought may be found in: Knowledge will Propel Machine Understanding of Content @ https://arxiv.org/abs/1610.07708
Amit Sheth, thanks for the pointers. I saw them in your comment on the post as well. I’m intrigued by your paper. Are you familiar with https://kyndi.com/ ? I think you will find it interesting.
As to the search terms, if you had to pick one thing for me to look at on the topics of “ontology of ignorance” and “ontology of consciousness” – what would they be?