All posts by OwenMenning

AI Isn’t Being Regulated and I’m Sick of It

Growing up in the digital age and with constant technological advancements happening left and right, it’s easy to become numb to the frequent sayings of “this is inevitable” or “everyone’s using it so you better get used to it”, or anything related to normalizing the rapid progress that tech receives. This particularly applies to Artificial Intelligence, as AI has become the central focus of not just young people, but the global economy as a whole, with OpenAI desperately trying to keep the bubble from bursting as companies send each other billions of dollars worth of “IOU’s”. Corporations and billionaires need AI to succeed, but governments seem to be sleeping at the wheel when it comes to actually regulating it, with the laws written either being outdated or nearly prevented from being made outright (Brown). I’ve written about AI a lot this semester, and in this blog post I am going to pull from various sources I used from this term to make the argument for why it needs strict regulation.

There have been countless news stories of people being scammed via fake AI voices of family members, to deepfakes and other image-generation technology used to sextort young individuals, and while the acts themselves are illegal, it’s still just as easy to go on a website and generate an image of someone without their consent as it was a few years ago. The only thing that’s actually gotten better is the tech itself, not the laws or guidelines surrounding it. Emily McArthur’s article, The IPhone Erfahrung: Siri, the Auditory Unconscious, and Walter Benjamin’s “Aura”, talks about technology when it comes to extension but it also highlights the responsibility that is shared between technology users and makers (McArthur). This is particularly applicable to AI today, since while obviously the users of the tech who use it for nefarious and illegal reasons should be punished, the creators of the tech itself should also be held accountable. There was a recent example of a teenager who committed suicide after a conversation with ChatGPT encouraged him to, and the parent company, OpenAI, denied responsibility because the teen had ‘misused’ the AI (Yang). If their response to a teenager killing themselves after being encouraged to by their product is “sorry, you weren’t authorized to talk to it that way”, there is clearly something extremely wrong with the way that the technology was created to begin with for this outcome to even have happened.

Another strong reason to support the increased regulation of AI is that our history depends on it. Photographic evidence and video evidence is a crucial part of our society and how we function as a people, how lessons are taught in school and how people are determined to be guilty or innocent in a court of law. The fact that those concrete forms of information are now at risk of being questioned forever should be an alarm bell for anyone who cares about truth. In Tony Horava’s article, eBooks and McLuhan: The Medium is Still the Message, Horava talks about how we can interpret and process the same information differently depending on the medium in which we consume it. The concept directly relates to AI images and videos, since a video made by a trusted source on a subject will be given more weight than an AI-generated version, even if it draws upon the same sources and delivers the same information. People already distrust AI videos since all we’ve seen them used for is memes and making fun of others, and so naturally if someone were to be accused of robbing a store for example, who’s to say that the security footage is even real to begin with. AI video and images only create distrust in the real, secure versions, so regulation needs to be in place to either limit or prohibit using the likeness of a real person, or ensure that any generated material has a permanent watermark that is easily visible or accessible. The alternative is that misinformation will only continue to spread at levels never seen before.

Relating to the believability of existing materials and physical media, Ingold in Making: Anthropology, Archeology, Art and Architecture discussed Michael Polanyi’s concept of ‘tacit knowledge’, and it talked about how Ingold did believe that all knowledge could be communicated or that even innate knowledge could be communicated (Ingold 111). I bring this up because when it comes to discerning whether or not an AI-generated creation is real or not, outside of the more obvious tells that sometimes appear, like messed up fingers or inconsistent patterns, people like to think that they can ‘tell’ when something is real or not. The whole concept of the uncanny valley is dedicated to this, the idea that people are able to tell when something looks off, or not human. Up until recently I was of the opinion that laws would come in place before AI-generation got to the point where it was impossible to tell what was real and what wasn’t, but Google’s most recent Nano Banana Pro model is already at that point, and the population isn’t ready. This technology threatens to make us lose our innate ability to tell between truth and fiction, to the point where trying to find irregularities may not be possible to communicate, which goes against Ingold’s thinking but as of this moment in AI history, it’s what appears to be the case.

While I have little faith that meaningful laws and regulations will be put into effect any time soon, I am still hopeful for the future and for the idea that AI will eventually exist in a limited capacity, driven by rules that prohibit stealing others’ likenesses, and ensuring that a permanent watermark resides on every piece of generated material.

Works Cited

Brown, Matt. “Senate pulls AI regulatory ban from GOP bill after complaints from states.” PBS, 1 July 2025, https://www.pbs.org/newshour/politics/senate-pulls-ai-regulatory-ban-from-gop-bill-after-complaints-from-states. Accessed 5 December 2025.

Horava, Tony. “eBooks and McLuhan: The Medium is Still the Message.” Against the Grain, vol. 28, no. 4, 2016, pp. 62-64. Library and Information Science Commons. Accessed 16 November 2025.

Ingold, Tim. Making: Anthropology, Archeology, Art and Architecture. 1st ed., Routledge, 2013, https://doi.org/10.4324/9780203559055. Accessed 4 December 2025.

McArthur, Emily. “The Iphone Erfahrung: Siri, the Auditory Unconscious, and Walter Benjamin’s “Aura”.” Design, Mediation, and the Posthuman. Ed. Dennis M. Weiss Ed. Amy D. Propen Ed. Colbey Emmerson Reid Lanham: Lexington Books, 2014. 113–128. Postphenomenology and the Philosophy of Technology. Bloomsbury Collections. Web. 1 Dec. 2025. <http://dx.doi.org/10.5040/9781666993851.ch-006>.

Yang, Angela. “OpenAI denies allegations that ChatGPT is to blame for a teenager’s suicide.” NBC News, 25 November 2025, https://www.nbcnews.com/tech/tech-news/openai-denies-allegation-chatgpt-teenagers-death-adam-raine-lawsuit-rcna245946. Accessed 5 December 2025.

Ways of ‘Telling’ and ‘Knowing’: How We’re Able to Communicate ‘Tacit’ Knowledge

In the second-to-last chapter of Tim Ingold’s Making: Anthropology, Archeology, Art and Architecture, Ingold centres around the idea of ‘the hand’ and brings up philosopher Michael Polanyi in his opening statements to highlight ideas of ‘telling’, ‘articulating’, and ‘knowing’. Ingold believes that while everything can be told, not everything can be articulated, and to strengthen his argument he uses one of Polanyi’s notable pieces of work, the book The tacit dimension, as a framework for what Ingold believes about knowledge and how it is communicated.

Background on Michael Polanyi and his work

Michael Polanyi was a physicist, chemist, and philosopher who was born in 1891 and passed away in 1976. He lived through both world wars, even migrating from Germany when Nazis took power (The Polanyi Society), and his philosophical work that he developed later in life was heavily influenced by living through those global events, being introduced to philosophy via Soviet ideology under Stalin (Polanyi 3). The book that Ingold refers to, The Tacit Dimension, was originally published in 1966 and introduces Polanyi’s idea of “we know more than we can tell” (Polanyi 4). 

Formal vs. Personal Knowledge

Polanyi’s view on thinking and knowledge was that ‘we know more than we can tell’ (Polanyi 4) and he classified knowledge into two camps: personal and formal. Formal knowledge is knowledge that can be specifically articulated and explained clearly to someone else, whereas personal knowledge cannot. Personal knowledge, to Polanyi, is the type of ‘know-how’ that only comes from the experience and practice that an individual goes through, whether it be perfecting a craft or learning how to hunt, which he also described as tacit knowing (Polanyi 20). It is not able to be articulated and thus, it cannot be taught. Ingold very much disagrees with Polanyi’s sentiment about personal knowledge being ‘untellable’ and argues, for example, that the idea that the age-old example of a craftsman being suddenly unable to explain how they do what they do when asked, is unfounded (Ingold 109). Ingold argues that people are absolutely able to communicate and “tell” others what they do, no matter how innate or personal it may seem. However the telling is not necessarily verbal, but it can be shown and demonstrated. This ties into Ingold’s belief that people correspond with the world and think through making. Polanyi’s perspective doesn’t make sense through Ingold’s lens, because if unspoken stuff or lessons couldn’t be taught since they were ‘personal’, then no one could learn through making, and learning through doing is a well-established fact of life. Polanyi’s view on knowing is also a bit confusing, as when he describes it in detail when describing an experiment involving a frog, he seems to assume that knowing what a frog is and knowing to do an experiment is tacit knowledge (Polanyi 21), despite the fact that a frog very much can be taught about. The ‘otherness’ of a frog might be innately human and ‘tacit’, but to suggest that that cannot be described makes me agree with Ingold.

Ways of Telling

To further help prove his point, Ingold in this chapter highlights the different forms of ‘telling’ to both debunk Polanyi’s ideas, and set up Ingold’s overall argument, which is that everything can be ‘told’. Ingold talks about storytelling, which is a form of telling where a narrative is told that includes lessons and patterns, and then there is ‘telling’, which is the more discernible approach where people search for ‘tells’ in others. For example, studying someone’s face while playing poker is a ‘tell’, since you are using environmental clues such as the furrowing of their brow and the tapping of their fingers on the table to make a judgement for yourself about what is really going on. Ingold brings up an example of being able to tell the tone in which a handwritten note was meant (or not meant) to be received, based on the inflection marks on the letters (Ingold 110). These two methods of telling come together in storytelling as well, but if Polanyi’s method of thinking on ‘tells’ were accurate, Ingold states that that would mean all stories would have the same exact meanings or lessons because of how rigid Polanyi’s ‘formal’ and ‘personal’ knowledge perspective functions. Stories do not work that way though, as they are purposely told with a degree of open-endedness so that the audience can bring about their own meaning and takeaways from it. As an example, Little Red Riding Hood is a classic tale that, in effect, teaches children about stranger danger. The story does not set out to literally warn children of actual wolves that can eat one’s grandparent, but it is close enough to a real example of a wolf being a shady stranger that readers can figure out the lessons behind the words. For Ingold, the lessons that stories give are less of an ‘answer’ and more of a path or trail that one can follow (Ingold 110), and from there everyone gets something unique out of it.

Ways of Thinking

To close out his argument regarding Polanyi’s words specifically, Ingold talks about ‘articulate thinking’, which is the process of thinking about one’s words before speaking them, organizing them in the brain all in advance before sharing the thoughts with anyone else. He argues that if every time people thought it were ‘articulated’, no thinking or ‘making’ would happen because everything would have to be thought of in advance, which goes against the learning-through-doing that Ingold has mentioned in the past. While Polanyi sees the ideas of formal and personal thinking as an iceberg nearly completely submerged in water, with only the formal tip of the ice peeking out of the water (Ingold 109), Ingold sees it as a series of islands that water flows freely around, knowledge being a mix of the two (Ingold 111), instead of a cut-and-dry one or the other. Ingold highlights the fact that in Chapter 1 of Making, he also talks about the idea of ‘knowing’ and ‘telling’ being the same thing, and he argues now that Polanyi is wrong because to know is to tell (Ingold 111), and so to suggest that people possess knowledge that cannot be conveyed is preposterous. Once again, this is not to say that everything ‘told’ will be in a neat verbal package, but rather that everything a person does is telling something in some way. So while not every scholar can articulate their knowledge, they can all tell it (Ingold 111). 

Polanyi in The tacit dimension draws upon Plato’s theories to try and explain how someone can’t search for an answer (if they know what to look for they’re fine, and if they don’t know what to look for then they don’t know) as support for Polanyi’s arguments about how knowledge cannot be ‘explicit’ (Polanyi 22). This is an interesting perspective that Ingold does not write about, since if you break it down you can find a sort of through-line for all knowledge, like how you go to school to learn, ask teachers questions for more information, and so on. Despite this, it still does not address Polanyi’s flawed claim that personal knowledge cannot be taught, giving Ingold the more compelling argument.

In short, Ingold uses Polanyi’s ideas on ‘telling’ and ‘personal knowledge’ to highlight how his own perspective is correct, because to know is to tell, and even if it’s something as simple as a mechanic tuning up a car or a person knitting a sweater, even without step-by-step instructions they are wholly able to tell what they are doing to others.

Works Cited

Ingold, Tim. Making: Anthropology, Archeology, Art and Architecture. 1st ed., Routledge, 2013, https://doi.org/10.4324/9780203559055. Accessed 4 December 2025.

Polanyi, Michael. The tacit dimension. Edited by Internet Archive, Gloucester, MA, 1983. Internet Archive, https://archive.org/details/tacitdimension0000pola/page/4/mode/2up. Accessed 4 December 2025.

The Polanyi Society. “Michael Polanyi.” The Polanyi Society, https://polanyisociety.org/michael-polanyi/. Accessed 28 October 2025.

Analyzing Extension through the Modern Lens of AI

The two texts that I will be critically comparing are The Iphone Erfahrung by Emily McArthur, and Extending “Extension” by Yoni Van Den Eede, both found in the book Design, Mediation, and the Posthuman. They both talk about extension and evolutions in technology and how they relate to the human experience, and because of this they certainly relate.

The Iphone Erfahrung Summary

McArthur’s article focuses on Siri, which when it was written in 2014 was a fairly new piece and advancement of technology. Siri is talked about as being an extension of the human (McArthur), as any thought that enters someone’s mind can be nearly instantly asked to Siri. While Siri is primarily used as a faster Google, or an answering machine, the way in which individuals speak to their phone and receive a response from a voice is anything but normal, at least not 10 years ago. The article talks alot about Walter Benjamin’s concept of ‘aura’, and how Siri represents aura due to its magical nature and its place in the social hierarchy (McArthur); as in, it can be considered an authority for truth (like a faster Google). Despite Siri’s magical appearance though, all it really does in terms of looking back at the user is make a guess based on what its learned, rather than come up with something on its own (McArthur). The article also talks about how that applies to other algorithms and modern systems, like online shopping or digital newspapers recommending you articles based off your recent reads. All in all, McArthur’s article focuses on the aura of Siri, the way in which sound can penetrate the unconscious, and the limits of its capabilities.

Extending Extension Summary

Van Den Eede’s article briefly recaps the idea of extension through history and talking about McLuhan’s perspective on it, before narrowing its focus and discussing self-tracking software and applications, like FitBits and other technologies that we essentially input our data into, arguing with McLuhan’s help that they are unique extensions of the body(Van Den Eede). From surveillance issues, to the notion that self-tracking apps are solving a “problem”, this article and how it discusses technology certainly relates to McArthur’s article, as they both provide interesting perspectives on how humans interact with technology.

How the Texts can be Used Together

When reading through both of the articles, one topic in particular immediately came to mind, as this one tends to – artificial intelligence. When considering software like Siri and algorithms that predict behaviour and using technology as an extension of self, there are fewer subjects more applicable than AI. The texts relate in numerous ways, but because they were written over a decade ago, naturally the technological references they utilize and predict are outdated. Using the lens of AI when comparing them helps enhance their similarities and makes it more clear just how much not only AI affects us, but also how it will continue to in the future.

McArthur’s article talks about how Siri doesn’t necessarily know exactly what you say, but it uses its language processes to essentially make a guess to what you are saying. This applies moreso when verbally speaking, but this can also apply to text, since alot of meaning that can be inferred between two humans speaking can be lost when it is typed out. In today’s world, AI very much does the same thing, particularly in image and video generation. All it does is read what the user types in, and makes the best guess it can for what they imagine the user wants. This can also apply to students who use AI to sort and organize their notes for them, as even if the student emphasizes a certain way they’d like their information to be presented, only they truly know what that looks like, not the AI. 

All of this culminates in a couple of outcomes: ease of use, and extending one’s self. Both articles talk about how technology makes things easier, whether it be using Siri as an instant-answer machine, or using a self-tracking app to count one’s calories instead of using a book and doing calculations on their own. People use these apps because it is easier than doing the activity themselves, and that is how these companies make all the money that they do, because they promise an easier lifestyle. At the same time, this technology is an extension of the self. Using AI to sort through your notes, or generate an opening paragraph that ‘sounds like your writing’, is in essence an extension of one’s self. However, this dois not to say that what the AI generates is ‘yours’, or even creative. There is a lot of contention when it comes to passing off AI-generated art or video or content in general as one’s own, and that is not what is being advocated for. Despite the lack of authorship though, if someone puts in their notes or writing into an LLM and asks it to generate something, the product that emerges is an extension of them also because they asked the AI to generate it to begin with. It is an extension that highlights the user’s creativity (or lack thereof).

McLuhan also discusses an idea in Van Den Eede’s article about the medical concept of an irritant and counter-irritant, saying that many extensions in the world are created in response to a problem in order to solve the problem (Van Den Eede). However, there is always a cost, and any time a counter-irritant is used to enhance something or a body part, it also weakens something else, almost like a sort of exchange. This thinking can be applied to McArthur’s article, since using AI to do your thinking for you is a perfect example of this. While the problem may be that someone doesn’t know how best to plan someone’s 30th birthday, by asking the AI to help solve the problem (the irritant) through using an AI-generated plan after being fed all of the birthday person’s interests (the counter-irritant), the trade-off is part of their brain will inevitably suffer as they rely more and more on AI and outside help for idea generation and problem solving instead of using their own brain muscles to do it. Another interesting comparison is that McLuhan argues that people are aware of technology as an ‘other’ and it is obvious (Van Den Eede), but as more and more people get fooled by AI scams and as McArhur’s article discussed that sound penetrates the mind with relation to Siri, the lines get blurrier and blurrier.

Takeaways and Conclusion

In conclusion, McArthur’s text and Van Den Eede’s text both discuss extension in relation to technology, and by using the more modern perspective of AI and its impact on people, the two articles can be used as a helpful guide to highlight how Ai (and technology in general) greatly impact us all, and also discuss some interesting ways to talk about it, like the irritant and counter-irritant theory brought up by McLuhan in Van Den Eede’s article. This all is important to know for people my age as being able to discuss these processes and theories is more important than ever. As more and more people grow accustomed to AI being embedded in daily activities, whether it be apps or transactions or whatever else, the times from just a few years ago where that was not the case will slowly be lost. Being able to articulate these processes isn’t to wish for a return for the way things were, as that is nigh impossible at this point, but it is still critical to know so that we can still stay ahead of the technology as best we can, and stay informed through it all.

Works Cited


McArthur, Emily. “The Iphone Erfahrung: Siri, the Auditory Unconscious, and Walter Benjamin’s “Aura”.” Design, Mediation, and the Posthuman. Ed. Dennis M. Weiss Ed. Amy D. Propen Ed. Colbey Emmerson Reid Lanham: Lexington Books, 2014. 113–128. Postphenomenology and the Philosophy of Technology. Bloomsbury Collections. Web. 1 Dec. 2025. <http://dx.doi.org/10.5040/9781666993851.ch-006>.

Van Den Eede, Yoni. “Extending “Extension”: A Reappraisal of the Technology-as-Extension Idea through the Case of Self-Tracking Technologies.” Design, Mediation, and the Posthuman. Ed. Dennis M. Weiss Ed. Amy D. Propen Ed. Colbey Emmerson Reid Lanham: Lexington Books, 2014. 151–172. Postphenomenology and the Philosophy of Technology. Bloomsbury Collections. Web. 1 Dec. 2025. <http://dx.doi.org/10.5040/9781666993851.ch-008>.

Critical Response Post to “Morality and Materiality in Digital Technology and Cognition”: How Tony Horava’s Takeaway on ‘the Medium’ Will Always Affect Us

Introduction

In this critical response post, I will be adding onto ideas discussed in Molly Kingsley and Aminata Chipembere’s post, “Morality and Materiality in Digital Technology and Cognition”. In their blog post, they discussed Bollmer and Verbeek’s ideas on materiality and how they relate to digital technology, talking about the similarities in their perspectives while highlighting a couple important points: digital tech can be material even if it appears immaterial, and technology can influence humans and their decision making. This critical response will focus on the latter idea, and will incorporate the added perspective of Tony Horava on the ways in which the medium of something, whether it be technology or not, still affects us.

Original Post Overview

Kingsley and Chipembere discuss the notion that technology, despite being largely considered to be an ‘immaterial’ presence, still affects our decision making, how we feel, and how we may act in the future. I believe this idea to be very important in today’s culture, as the development of technology rapidly outpaces our capacity to wholly understand it and its effects. The purpose of this critique is to bring in some added perspectives on how exactly technology impacts how we feel and act, as it is not only interesting to think about, but also necessary.

Horava’s Perspective

Tony Horava in his journal article “eBooks and McLuhan: The Medium is Still the Message” talks about McLuhan’s original phrase and how that correlates to modern technology. For example, the way in which one interacts with a physical copy of a book compared to a digital copy of a book is different despite the materials being the same (Horava 62). The way in which our hands turn the page versus swipe a tablet, or the smell of paper versus the smell of a screen, all culminate to creating a unique reading experience that is definitely informed by the medium in which the contents are being gathered from. Using this lens, I want to take a look at some of the examples that Kingsley and Chipembere talk about in their original blog post.

In their post, the authors discuss several ways in which technologies can impact human behaviour, such as the ways in which doctors consult medical devices, as well as talking about hermeneutic media, which provides a representation of reality that requires interpretation (Kingsley and Chipembere). The medical example in particular is one I found especially interesting, as I believe that Horava’s perspective can play a role in how doctors use various medical machinery. As an example, when a doctor uses technology to fetch results, or analyze a sample, or conduct any sort of medical test, the doctor is inherently placing their faith in that technology to work. Contrast the technology available now compared to fifty years ago, and the attitudes would be much different. Doctors would still have faith in their machines, but presumably far less so than their modern-day counterparts, and as such it would take a different mental toll and reflection on their work. More would have to be done to ensure the results are accurate, or that the readings were saying what they thought they were: in short, Horava’s idea on how the medium affects the message applies to doctors’ reliance on technology over the years. Even if the message were the same, for example, on a more simple medical device that was used years ago that is still relevant now, the simple fact that we now live in the modern era with information at our fingertips and hospitals equipped with the latest advancements would add a level of confidence that prior generations wouldn’t have had. This will only continue on into the future too, as tech continues to evolve and early-onset detection systems reduce the amounts of deadlier conditions (hopefully).

Conclusion

This extra level of perspective on Kingsley and Chipembere’s post is not meant as a negative, as I thought their writing was very well done and presented dense ideas in a clear and digestible way. The purpose of this post is to also bring in a relevant newer course reading through Horava, and add his perspective on the concepts discussed by Bollmer and Verbeek, as I believe them to be related. We often talk in this class about how technology influences us, and even how it influences us, but Horava’s article has stuck with me in its ability to articulate the differences between an eBook and physical book, and I thought that the main takeaway from it was worthy to bring up again and apply to my peer’s work. I strongly believe that the medium of digital technology itself does impact us, and as it continues to evolve, so will its impact. What we feel now due to social media and the like will be far different just a few years in the future, and being able to properly communicate that effect is important.

Works Cited

Horava, Tony. “eBooks and McLuhan: The Medium is Still the Message.” Against the Grain, vol. 28, no. 4, 2016, pp. 62-64. Library and Information Science Commons. Accessed 16 November 2025.

Kingsley, Molly, and Aminata Chipembere. Morality and Materiality in Digital Technology and Cognition. 14 November 2025, Morality and Materiality in Digital Technology and Cognition. Accessed 16 November 2025. Blog Post.

Image Credit: https://mitsloan.mit.edu/sites/default/files/2022-07/MIT-Healthcare-Technology-01_0.jpg

Ingold and Michael Polanyi on ‘telling’ and the ‘personal knowledge’ iceberg

In the second-to-last chapter of Tim Ingold’s Making: Anthropology, Archeology, Art and Architecture, Ingold centres around the idea of ‘the hand’ and brings up philosopher Michael Polanyi in his opening statements to highlight ideas of ‘telling’, ‘articulating’, and ‘knowing’. Ingold believes that while everything can be told, not everything can be articulated, and to strengthen his argument he uses one of Polanyi’s notable pieces of work, the book The Tacit Dimension, as a framework for what Ingold believes about knowledge and how it is communicated.

Background on Michael Polanyi

Michael Polanyi was a physicist, chemist, and philosopher who was born in 1891 and passed away in 1976. He lived through both world wars, even migrating from Germany when Nazis took power, and his philosophical work that he developed later in life was heavily influenced by living through those global events, as well as the rise of totalitarianism as a whole (The Polanyi Society). 

The book that Ingold refers to, The Tacit Dimension, was published in 1967 and introduces Polanyi’s idea of “we know more than we can tell” (Ingold 109). I was not able to access Polanyi’s full book via the UBC Library or the internet, so I am citing its mention in Ingold’s Making.

Formal vs. Personal Knowledge

Polanyi’s view on thinking and knowledge was that ‘we know more than we can tell’ (Ingold 109), and he classified knowledge into two camps: personal and formal. Formal knowledge is knowledge that can be specifically articulated and explained clearly to someone else, whereas personal knowledge cannot. Personal knowledge, to Polanyi, is the type of ‘know-how’ that only comes from the experience and practice that an individual goes through, whether it be perfecting a craft or learning how to hunt. It is not able to be articulated and thus, it cannot be taught. It is also important to note that Polanyi defines ‘telling’ as requiring “specification and articulation” (Ingold 109), and Ingold bases his views on that definition. Ingold very much disagrees with Polanyi’s sentiment about personal knowledge being ‘untellable’ and argues, for example, that the idea that the age-old example of a craftsman being suddenly unable to explain how they do what they do when asked, is unfounded (Ingold 109). Ingold argues that people are absolutely able to communicate and “tell” others what they do, no matter how innate or personal it may seem. However the telling is not necessarily verbal, but it can be shown and demonstrated. This ties into Ingold’s belief that people correspond with the world and think through making. Polanyi’s perspective doesn’t make sense through Ingold’s lens, because if unspoken stuff or lessons couldn’t be taught since they were ‘personal’, then no one could learn through making, and learning through doing is a well-established fact of life.

Ways of Telling

To further help prove his point, Ingold in this chapter highlights the different forms of ‘telling’ to both debunk Polanyi’s ideas, and set up Ingold’s overall argument, which is that everything can be ‘told’. Ingold talks about storytelling, which is a form of telling where a narrative is told that includes lessons and patterns, and then there is ‘telling’, which is the more discernible approach where people search for ‘tells’ in others. For example, studying someone’s face while playing poker is a ‘tell’, since you are using environmental clues such as the furrowing of their brow and the tapping of their fingers on the table to make a judgement for yourself about what is really going on. Ingold brings up an example of being able to tell the tone in which a handwritten note was meant (or not meant) to be received, based on the inflection marks on the letters (Ingold 110). These two methods of telling come together in storytelling as well, but if Polanyi’s method of thinking on ‘tells’ were accurate, Ingold states that that would mean all stories would have the same exact meanings or lessons because of how rigid Polanyi’s ‘formal’ and ‘personal’ knowledge perspective functions. Stories do not work that way though, as they are purposely told with a degree of open-endedness so that the audience can bring about their own meaning and takeaways from it. As an example, Little Red Riding Hood is a classic tale that, in effect, teaches children about stranger danger. The story does not set out to literally warn children of actual wolves that can eat one’s grandparent, but it is close enough to a real example of a wolf being a shady stranger that readers can figure out the lessons behind the words. For Ingold, the lessons that stories give are less of an ‘answer’ and more of a path or trail that one can follow (Ingold 110), and from there everyone gets something unique out of it. It should be noted that Ingold does cite Polanyi’s work during this chapter, so while I did not access the direct text that Ingold did, using the information gathered from the Polanyi Society website helped fill in gaps that I think are useful, which I will get into shortly.

Ways of Thinking


To close out his argument regarding Polanyi’s words specifically, Ingold refers back to Polanyi’s definition of what is required for telling, which are specification and articulation. Ingold talks about ‘articulate thinking’, which is the process of thinking about one’s words before speaking them, organizing them in the brain all in advance before sharing the thoughts with anyone else. He argues that if every time people thought it were ‘articulated’, no thinking or ‘making’ would happen because everything would have to be thought of in advance, which goes against the learning-through-doing that Ingold has mentioned in the past. While Polanyi sees the ideas of formal and personal thinking as an iceberg nearly completely submerged in water, with only the formal tip of the ice peeking out of the water (Ingold 109), Ingold sees it as a series of islands that water flows freely around, knowledge being a mix of the two (Ingold 111), instead of a cut-and-dry one or the other. Ingold highlights the fact that in Chapter 1 of Making, he also talks about the idea of ‘knowing’ and ‘telling’ being the same thing, and he argues now that Polanyi is wrong because to know is to tell (Ingold 111), and so to suggest that people possess knowledge that cannot be conveyed is preposterous. Once again, this is not to say that everything ‘told’ will be in a neat verbal package, but rather that everything a person does is telling something in some way. So while not every scholar can articulate their knowledge, they can all tell it (Ingold 111). In short, Ingold uses Polanyi’s ideas on ‘telling’ and ‘personal knowledge’ to highlight how his own perspective is correct, because to know is to tell, and even if it’s something as simple as a mechanic tuning up a car or a person knitting a sweater, even without step-by-step instructions they are wholly able to tell what they are doing to others. While I agree with Ingold’s perspective, I can also see how Polanyi growing up and experiencing the enormous world events that he did could lead someone to think more rigidly about the human experience, as the idea of ‘always telling’ is a bit daunting.

Works Cited

(apologies for the formatting, was difficult to figure out on wordpress)

Ingold, Tim. Making: Anthropology, Archeology, Art and Architecture. 1st ed., Routledge, 2013, https://doi.org/10.4324/9780203559055. Accessed 27 October 2025.

The Polanyi Society. “Michael Polanyi.” The Polanyi Society, https://polanyisociety.org/michael-polanyi/. Accessed 28 October 2025.