philosophy

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So The U.S. Transhumanist Party recently released some demographic info on their first 1,000 members, and while they seem to be missing some some rather crucial demographic markers, here, such as age and ethnicity, the gender breakdown is about what you’d expect.

I mention this because back at the end of June I attended the Decolonizing Mars Unconference, at the Library of Congress in D.C. It was the first time I had been in those buildings since I was a small child, and it was for such an amazing reason.

We discussed many topics, all in the interest of considering what it would really mean to travel through space to another planet, and to put humans and human interests there, longterm. Fundamentally, our concern was, is it even possible to do all of this without reproducing the worst elements of the colonialist projects we’ve seen on Earth, thus far, and if so, how do we do that?

[Image of Mars as seen from space, via JPL]

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I talked with Hewlett Packard Enterprise’s Curt Hopkins, for their article “4 obstacles to ethical AI (and how to address them).” We spoke about the kinds of specific tools and techniques by which people who populate or manage artificial intelligence design teams can incorporate expertise from the humanities and social sciences. We also talked about compelling reasons why they should do this, other than the fact that they’re just, y’know, very good ideas.

From the Article:

To “bracket out” bias, Williams says, “I have to recognize how I create systems and code my understanding of the world.” That means making an effort early on to pay attention to the data entered. The more diverse the group, the less likely an AI system is to reinforce shared bias. Those issues go beyond gender and race; they also encompass what you studied, the economic group you come from, your religious background, all of your experiences.

That becomes another reason to diversify the technical staff, says Williams. This is not merely an ethical act. The business strategy may produce more profit because the end result may be a more effective AI. “The best system is the one that best reflects the wide range of lived experiences and knowledge in the world,” he says.

[Image of two blank, white, eyeless faces, partially overlapping each other.]

To be clear, this is an instance in which I tried to find capitalist reasons that would convince capitalist people to do the right thing. To that end, you should imagine that all of my sentences start with “Well if we’re going to continue to be stuck with global capitalism until we work to dismantle it…” Because they basically all did.

I get how folx might think that framing would be a bit of a buzzkill for a tech industry audience, but I do want to highlight and stress something: Many of the ethical problems we’re concerned with mitigating or ameliorating are direct products of the capitalist system in which we are making these choices and building these technologies.

All of that being said, I’m not the only person there with something interesting to say, and you should go check out the rest of my and other people’s comments.

Until Next Time.

Last week, I talked to The Atlantic’s Ed Yong about new research in crowd sentiment tipping points, how it could give hope and dread for those working for social change, and how it might be used by bad actors to create/enhance already-extant sentiment-manipulation factories.

From the article:

…“You see this clump of failures below 25 percent and this clump of successes above 25 percent,” Centola says. “Mathematically, we predicted that, but seeing it in a real population was phenomenal.”

“What I think is happening at the threshold is that there’s a pretty high probability that a noncommitted actor”—a person who can be swayed in any direction—“will encounter a majority of committed minority actors, and flip to join them,” says Pamela Oliver, a sociologist at the University of Wisconsin at Madison. “There is therefore a good probability that enough non-committed actors will all flip at the same time that the whole system will flip.”

We talked about a lot, and much of it didn’t make it into the article, but one of the things that matters most about all of this is that we’re going to have to be increasingly mindful and intentional about the information we take in. We now know that we have the ability to move the needle of conversation, with not too much effort, and with this knowledge we can make progressive social change. We can use this to fight against the despair that can so easily creep into this work of spreading compassion and trying to create a world where we can all flourish.

https://upload.wikimedia.org/wikipedia/commons/thumb/6/65/Argentina_-_Mt_Tronador_Ascent_-_65_-_Casa%C3%B1o_Overa_glacier_%286834408616%29.jpg/640px-Argentina_-_Mt_Tronador_Ascent_-_65_-_Casa%C3%B1o_Overa_glacier_%286834408616%29.jpg

[Argentina’s Mt Tronador Casaño Overa glacier, by McKay Savage]

But we have to know that there will also be those who see this as a target number to hit so that hey might better disrupt and destabilize groups and beliefs. We already know that many such people are hard at work, trying to sow doubt and mistrust. We already have evidence that these actors will make other people’s lives unpleasant for the sake of it. With this new research, they’ll be encouraged, as well. As I said to Ed Yong:

“There are already a number of people out there who are gaming group dynamics in careful ways… If they know what target numbers they have to hit, it’s easy to see how they could take this information and create [or increase the output of the existing] sentiment-manipulation factory.”

The infiltration of progressive groups to move them toward chaos and internal strife is not news, just like the infiltration (and origin) of police and military groups by white supremacists is not news.

And so, while I don’t want to add to a world in which people feel like they have to continually mistrust each other, we do have to be intentional about the work we do, and how we do it, and we have to be mindful of who is trying to get us to believe what, and why they want us to believe it. Especially if we want to get others to believe as we do

This research gives us a useful set of tools and a good to place to start.

Until Next Time.

Late last month, I was at Theorizing the Web, in NYC, to moderate Panel B3, “Bot Phenomenology,” in which I was very grateful to moderate a panel of people I was very lucky to be able to bring together. Johnathan Flowers, Emma Stamm, and Robin Zebrowski were my interlocutors in a discussion about the potential nature of nonbiological phenomenology. Machine consciousness. What robots might feel.

I led them through with questions like “What do you take phenomenology to mean?” and “what do you think of the possibility of a machine having a phenomenology of its own?” We discussed different definitions of “language” and “communication” and “body,” and unfortunately didn’t have a conversation about how certain definitions of those terms mean that what would be considered language between cats would be a cat communicating via signalling to humans.

It was a really great conversation and the Live Stream video for this is here, and linked below (for now, but it may go away at some point, to be replaced by a static youtube link; when I know that that’s happened, I will update links and embeds, here).

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My piece “Cultivating Technomoral Interrelations,” a review of Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting has been up over at the Social Epistemology Research and Reply Collective for a few months, now, so I figured I should post something about it, here.

As you’ll read, I was extremely taken with Vallor’s book, and think it is a part of some very important work being done. From the piece:

Additionally, her crucial point seems to be that through intentional cultivation of the self and our society, or that through our personally grappling with these tasks, we can move the world, a stance which leaves out, for instance, notions of potential socioeconomic or political resistance to these moves. There are those with a vested interest in not having a more mindful and intentional technomoral ethos, because that would undercut how they make their money. However, it may be that this is Vallor’s intent.

The audience and goal for this book seems to be ethicists who will be persuaded to become philosophers of technology, who will then take up this book’s understandings and go speak to policy makers and entrepreneurs, who will then make changes in how they deal with the public. If this is the case, then there will already be a shared conceptual background between Vallor and many of the other scholars whom she intends to make help her to do the hard work of changing how people think about their values. But those philosophers will need a great deal more power, oversight authority, and influence to effectively advocate for and implement what Vallor suggests, here, and we’ll need sociopolitical mechanisms for making those valuative changes, as well.

[Image of the front cover of Shannon Vallor’s TECHNOLOGY AND THE VIRTUES. Circuit pathways in the shapes of trees.]

This is, as I said, one part of a larger, crucial project of bringing philosophy, the humanities, and social sciences into wide public conversation with technoscientific fields and developers. While there have always been others doing this work, it is increasingly the case that these folks are being both heeded and given institutional power and oversight authority.

As we continue the work of building these systems, and in the wake of all these recent events, more and more like this will be necessary.

Shannon Vallor’s Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting is out in paperback, June 1st, 2018. Read the rest of “Cultivating Technomoral Interrelations: A Review of Shannon Vallor’s Technology and the Virtues at the Social Epistemology Review and Reply Collective.

Earlier this month I was honoured to have the opportunity to sit and talk to Douglas Rushkoff on his TEAM HUMAN podcast. If you know me at all, you know this isn’t by any means the only team for which I play, or even the only way I think about the construction of our “teams,” and that comes up in our conversation. We talk a great deal about algorithms, bias, machine consciousness, culture, values, language, and magick, and the ways in which the nature of our categories deeply affect how we treat each other, human and nonhuman alike. It was an absolutely fantastic time.

From the page:

In this episode, Williams and Rushkoff look at the embedded biases of technology and the values programed into our mediated lives. How has a conception of technology as “objective” blurred our vision to the biases normalized within these systems? What ethical interrogation might we apply to such technology? And finally, how might alternative modes of thinking, such as magick, the occult, and the spiritual help us to bracket off these systems for pause and critical reflection? This conversation serves as a call to vigilance against runaway systems and the prejudices they amplify.

As I put it in the conversation: “Our best interests are at best incidental to [capitalist systems] because they will keep us alive long enough to for us to buy more things from them.” Following from that is the fact that we build algorithmic systems out of those capitalistic principles, and when you iterate out from there—considering all attendant inequalities of these systems on the merely human scale—we’re in deep trouble, fast.

Check out the rest of this conversation to get a fuller understanding of how it all ties in with language and the occult. It’s a pretty great ride, and I hope you enjoy it.

Until Next Time.

So by now you’re likely to have encountered something about the NYT Op-Ed Piece calling for a field of study that focuses on the impact of AI and algorithmic systems, a stance that elides the existence of not only communications and media studies people who focus on this work, but the whole entire disciplines of Philosophy of Technology and STS (rendered variously as “Science and Technology Studies” or “Science Technology and Society,” depending on a number of factors, but if you talk about STS, you’ll get responses from all of the above, about the same topics). While Dr. O’Neil has since tried to reframe this editorial as a call for businesses, governments, and the public to pay more attention to those people and groups, many have observed that such an argument exists nowhere in the article itself. Instead what we have is lines like academics (seemingly especially those in the humanities) are “asleep at the wheel.”

Instead of “asleep at the wheel” try “painfully awake on the side of the road at 5am in a part of town lyft and uber won’t come to, trying to flag down a taxi driver or hitchhike or any damn thing just please let me make this meeting so they can understand some part of what needs to be done.”* The former ultimately frames the humanities’ and liberal arts’ lack of currency and access as “well why aren’t you all speaking up more.” The latter gets more to the heart of “I’m sorry we don’t fund your departments or engage with your research or damn near ever heed your recommendations that must be so annoying for you oh my gosh.”

But Dr O’Neil is not the only one to write or say something along these lines—that there is somehow no one, or should be someone out here doing the work of investigating algorithmic bias, or infrastructure/engineering ethics, or any number of other things that people in philosophy of technology and STS are definitely already out here talking about. So I figured this would be, at the least, a good opportunity to share with you something discussing the relationship between science and technology, STS practitioners’ engagement with the public, and the public’s engagement of technoscience. Part 1 of who knows how many.

[Cover of the journal Techné: Research in Philosophy and Technology]

The relationship between technology and science is one in which each intersects with, flows into, shapes, and affects the other. Not only this, but both science and technology shape and are shaped by the culture in which they arise and take part. Viewed through the lens of the readings we’ll discuss it becomes clear that many scientists and investigators at one time desired a clear-cut relationship between science and technology in which one flows from the other, with the properties of the subcategory being fully determined by those of the framing category, and sociocultural concerns play no part.

Many investigators still want this clarity and certainty, but in the time since sociologists, philosophers, historians, and other investigators from the humanities and so called soft sciences began looking at the history and contexts of the methods of science and technology, it has become clear that these latter activities do not work in an even and easily rendered way. When we look at the work of Sergio Sismondo, Trevor J. Pinch and Wiebe E. Bijker, Madeline Akrich, and Langdon Winner, we can see that the social dimensions and intersections of science, culture, technology, and politics are and always have been crucially entwined.

In Winner’s seminal “Do Artifacts Have Politics?”(1980), we can see what counts as a major step forward along the path toward a model which takes seriously the social construction of science and technology, and the way in which we go about embedding our values, beliefs, and politics into the systems we make. On page 127, Winner states,

The things we call “technologies” are ways of building order in our world… Consciously or not, deliberately or inadvertently, societies choose structures for technologies that influence how people are going to work, communicate, travel, consume, [etc.]… In the processes by which structuring decisions are made, different people … possess unequal degrees of power [and] levels of awareness.

By this, Winner means to say that everything we do in the construction of the culture of scientific discovery and technological development is modulated by the sociocultural considerations that get built into them, and those constructed things go on to influence the nature of society, in turn. As a corollary to this, we can see a frame in which the elements within the frame—including science and technology—will influence and modulate each other, in the process of generating and being generated by the sociopolitical frame. Science will be affected by the tools it uses to make its discoveries, and the tools we use will be modulated and refined as our understandings change.

Pinch and Bijker write very clearly about the multidirectional interactions of science, technology, and society in their 1987 piece, [The Social Construction of Technological Systems,] using the history of the bicycle as their object of study. Through their investigation of the messy history of bicycles, “safety bicycles,” inflated rubber tires, bicycle racing, and PR ad copy, Pinch and Bijker show that science and technology aren’t clearly distinguished anymore, if they ever were. They show how scientific studies of safety were less influential on bicycle construction and adoption than the social perception [of] the devices, meaning that politics and public perception play a larger role in what gets studied, created, and adopted than we used to admit.

They go on to highlight a kind of multidirectionality and interpretive flexibility, which they say we achieve by looking at the different social groups that intersect with the technology, and the ways in which they do so (pg. 34). When we do this, we will see that each component group is concerned with different problems and solutions, and that each innovation made to address these concerns alters the landscape of the problem space. How we define the problem dictates the methods we will use and the technology that we create to seek a solution to it.

[Black and white figures comparing the frames of a Whippet Spring Frame bicycle (left) and a Singer Xtraordinary bicycle (right), from “The Social Construction of Facts and Artifacts: Or How the Sociology of Science and the Sociology of Technology Might Benefit Each Other” by Trevor J. Binch and Wiebe E. Bijker, 1987]


Akrich’s 1997 “The De-Scription of Technical Objects” (published, perhaps unsurprisingly, in a volume coedited by Bijker), engages the moral valences of technological intervention, and the distance between intent in design and “on the ground” usage. In her investigation of how people in Burkina Faso, French Polynesia, and elsewhere make use of technology such as generators and light boxes, we again see a complex interplay between the development of a scientific or technological process and the public adoption of it. On page 221 Akrich notes, “…the conversion of sociotechnical facts into facts pure and simple depends on the ability to turn technical objects into black boxes. In other words, as they become indispensable, objects also have to efface themselves.” That is, in order for the public to accept the scientific or technological interventions, those interventions had to become an invisible part of the framework of the public’s lives. Only when the public no longer had to think about these interventions did they become paradoxically “seen,” understood, as “good” science and technology.

In Sismondo’s “Science and Technology Studies and an Engaged Program” (2008) he spends some time discussing the social constructivist position that we’ve begun laying out, above—the perspective that everything we do and all the results we obtain from the modality of “the sciences” are constructed in part by that mode. Again, this would mean that “constructed” would describe both the data we organize out of what we observe, and what we initially observe at all. From page 15, “Not only data but phenomena themselves are constructed in laboratories—laboratories are places of work, and what is found in them is not nature but rather the product of much human effort.”

But Sismondo also says that this is only one half of the picture, then going on to discuss the ways in which funding models, public participation, and regulatory concerns can and do alter the development and deployment of science and technology. On page 19 he discusses a model developed in Denmark in the 1980’s:

Experts and stakeholders have opportunities to present information to the panel, but the lay group has full control over its report. The consensus conference process has been deemed a success for its ability to democratize technical decision-making without obviously sacrificing clarity and rationality, and it has been extended to other parts of Europe, Japan, and the United States…

This all merely highlights the fact that, if the public is going to be engaged, then the public ought to be as clear and critical as possible in its understanding of the exchanges that give rise to the science and technology on which they are asked to comment.

The non-scientific general public’s understanding of the relationship between science and technology is often characterized much as I described at the beginning of this essay. That is, it is often said that the public sees the relationship as a clear and clean move from scientific discoveries or breakthroughs to a device or other application of those principles. However, this casting does not take into account the variety of things that the public will often call technology, such as the Internet, mobile phone applications, autonomous cars, and more.

While there are scientific principles at play within each of those technologies, it still seems a bit bizarre to cast them merely as “applied science.” They are not all devices or other single physical instantiations of that application, and even those that are singular are the applications of multiple sciences, and also concrete expressions of social functions. Those concretions have particular psychological impacts, and philosophical implications, which need to be understood by both their users and their designers. Every part affects every other part, and each of those parts is necessarily filtered through human perspectives.

The general public needs to understand that every technology humans create will necessarily carry within it the hallmarks of human bias. Regardless of whether there is an objective reality at which science points, the sociocultural and sociopolitical frameworks in which science gets done will influence what gets investigated. Those same sociocultural and sociopolitical frameworks will shape the tools and instruments and systems—the technology—used to do that science. What gets done will then become a part of the scientific and technological landscape to which society and politics will then have to react. In order for the public to understand this, we have to educate about the history of science, the nature of social scientific methods, and the impact of implicit bias.

My own understanding of the relationship between science and technology is as I have outlined: A messy, tangled, multivalent interaction in which each component influences and is influenced by every other component, in near simultaneity. This framework requires a willingness to engage multiple perspectives and disciplines, and to perhaps reframe the normative project of science and technology to one that appreciates and encourages a multiplicity of perspectives, and no single direction of influence between science, technology and society. Once people understand this—that science and technology generate each other while influencing and being influenced by society—we do the work of engaging them in a nuanced and mindful way, working together to prevent the most egregious depredations of technoscientific development, or at least to agilely respond to them, as they arise.

But to do this, researchers in the humanities need to be heeded. In order to be heeded, people need to know that we exist, and that we have been doing this work for a very, very long time. The named field of Philosophy of Technology has been around for 70 years, and it in large parta foregrounded the concerns taken up and explored by STS. Here are just a few names of people to look at in this extensive history: Martin Heidegger, Bruno Latour, Don Ihde, Ian Hacking, Joe Pitt, and more recently, Ashley Shew, Shannon Vallor, Robin Zebrowski, John P. Sullins, John Flowers, Matt Brown, Shannon Conley, Lee Vinsel, Jacques Ellul, Andrew Feenberg, Batya Friedman, Geoffrey C. Bowker and Susan Leigh Star, Rob Kling, Phil Agre, Lucy Suchman, Joanna Bryson, David Gunkel, so many others. Langdon Winner published “Do Artifacts Have Politics” 37 years ago. This episode of the You Are Not So Smart podcast, along with Shannon Vallor and Alistair Croll, has all of us talking about the public impact of the aforementioned.

What I’m saying is that many of us are trying to do the work, out here. Instead of pretending we don’t exist, try using large platforms (Like the NYT opinion page, and well read blogs) to highlight the very real work being attempted. I know for a fact the NYT has received submission articles about philosophy of tech and STS. Engage them. Discuss these topics in public, and know that there are many voices trying to grapple with and understand this world, and we have been, for a really damn long time.

So you see that we are still talking about learning and thinking in public. About how we go about getting people interested and engaged in the work of the technology that affects their lives. But there is a lot at the base of all this about what people think of as “science” or “expertise” and where they think that comes from, and what they think of those who engage in or have it. If we’re going to do this work, we have to be able to have conversations with people who not only don’t value what we do, but who think what we value is wrongheaded, or even evil. There is a lot going on in the world, right now, in regards to science and knowability. For instance, late last year there was a revelation about the widespread use of Dowsing by UK water firms (though if you ask anybody in the US, you’ll find it’s still in use, here, too).

And then this guy was trying to use systems of fluid dynamics and aeronautics to launch himself in a rocket to prove that the earth is flat and that science isn’t real. Yeah. And while there’s a much deeper conversation to be had here about whether the social construction of the category of “science” can be understood as distinct from a set of methodologies and formulae, but i really don’t think this guy is talking about having that conversation.

So let’s also think about the nature of how laboratory science is constructed, and what it can do for us.

In his 1983 “Give Me a Laboratory and I Will Move The World,” Bruno Latour makes the claim that labs have their own agency. What Latour is asserting, here, is that the forces which coalesce within the framework of a lab become active agents in their own right. They are not merely subject to the social and political forces that go into their creation, but they are now active participants in the framing and reframing of those forces. He believes that the nature of inscription—the combined processes of condensing, translating, and transmitting methods, findings, and pieces of various knowledges—is a large part of what gives the laboratory this power, and he highlights this when he says:

The strength gained in the laboratory is not mysterious. A few people much weaker than epidemics can become stronger if they change the scale of the two actors—making the microbes big, and the epizootic small—and others dominate the events through the inscription devices that make each of the steps readable. The change of scale entails an acceleration in the number of inscriptions you can get. …[In] a year Pasteur could multiply anthrax outbreaks. No wonder that he became stronger than veterinarians. For every statistic they had, he could mobilize ten of them. (pg. 163—164)

This process of inscription is crucial for Latour; not just for the sake of what the laboratory can do of its own volition, but also because it is the mechanism by which scientists may come to understand and translate the values and concerns of another, which is, for him, the utmost value of science. In rendering the smallest things such as microbes and diseases legible on a large scale, and making largescale patterns individually understandable and reproducible, the presupposed distinctions of “macro” and “micro” are shown to be illusory. Latour believes that it is only through laboratory engagement that we can come to fully understand the complexities of these relationships (pg. 149).

When Latour begins laying out his project, he says sociological methods can offer science the tools to more clearly translate human concerns into a format with which science can grapple. “He who is able to translate others’ interests into his own language carries the day.” (pg. 144). However, in the process of detailing what it is that Pasteurian laboratory scientists do in engaging the various stakeholders in farms, agriculture, and veterinary medicine, it seems that he is has only described half of the project. Rather than merely translating the interests of others into our own language, evidence suggests that we must also translate our interests back into the language of our interlocutor.

So perhaps we can recast Latour’s statement as, “whomsoever is able to translate others’ interests into their own language and is equally able to translate their own interests into the language of another, carries the day.” Thus we see that the work done in the lab should allow scientists and technicians to increase the public’s understanding both of what it is that technoscience actually does and why it does it, by presenting material that can speak to many sets of values.

Karin Knorr-Cetina’s assertion in her 1995 article “Laboratory Studies: The Cultural Approach to the Study of Science” is that laboratory is an “enhanced” environment. In many ways this follows directly from Latour’s conceptualization of labs. Knorr-Cetina says that the constructed nature of the lab ‘“improves upon” the natural order,’ because said natural order is, in itself, malleable, and capable of being understood and rendered in a multiplicity of ways (pg. 9). If laboratories are never engaging the objects they study “as they occur in nature,” this means that labs are always in the process of shaping what they study, in order to better study it (ibid). This framing of the engagement of laboratory science is clarified when she says:

Detailed description [such as that done in laboratories] deconstructs—not out of an interest in critique but because it cannot but observe the intricate labor that goes into the creation of a solid entity, the countless nonsolid ingredients from which it derives, the confusion and negotiation that often lie at its origin, and the continued necessity of stabilizing and congealing. Constructionist studies have revealed the ordinary working of things that are black-boxed as “objective” facts and “given” entities, and they have uncovered the mundane processes behind systems that appear monolithic, awe inspiring, inevitable. (pg. 12)

Thus, the laboratory is one place in which the irregularities and messiness of the “natural world” are ordered in such a ways as to be able to be studied at all. However, Knorr-Cetina clarifies that “nothing epistemically special” is happening, in a lab (pg. 16). That is, while a laboratory helps us to better recognize nonhuman agents (“actants”) and forces at play in the creation of science, this is merely a fact of construction; everything that a scientist does in a lab is open to scrutiny and capable of being understood. If this is the case, then the “enhancement” gained via the conditions of the laboratory environment is merely a change in degree, rather than a difference in kind, as Latour seems to assert.

[Stock photo image of hundreds of scallops and two scallop fishers on the deck of a boat in the St Brieuc Bay.]

[Stock photo image of hundreds of scallops and two scallop fishers on the deck of a boat in the St Brieuc Bay.]


In addition to the above explorations of what the field of laboratory studies has to offer, we can also look at the works of Michel Callon and Sharon Traweek. Though primarily concerned with describing the network of actors and their concerns in St Brieuc Bay scallop-fishing and -farming industries, Callon’s investigation can be seen as example of Latour’s principle of bringing the laboratory out in the world, both in terms of the subjects of Callon’s investigation and the methods of those subjects. While Callon himself might disagree with this characterization, we can trace the process of selection and enframing of subjects and the investigation of their translation procedures, which we can see on page 20, when he says,

We know that the ingredients of controversies are a mixture of considerations concerning both Society and Nature. For this reason we require the observer to use a single repertoire when they are described. The vocabulary chosen for these descriptions and explanations can be left to the discretion of the observer. He cannot simply repeat the analysis suggested by the actors he is studying. (Callon, 1984)

In this way, we can better understand how laboratory techniques have become a component even of the study and description of laboratories.

When we look at a work like Sharon Traweek’s Beamtimes and Lifetimes, we can see that she finds value in bringing ethnographic methodologies into laboratory studies, and perhaps even laboratory settings. She discusses the history of the laboratory’s influence, arcing back to WWI and WWII, where scientists were tasked with coming up with more and better weapons, with their successes being used to push an ever-escalating arms race. As this process continued, the characteristics of what made a “good lab scientist” were defined and then continually reinforced, as being “someone who did science like those people over there.” In the building of the laboratory community, certain traits and behaviours become seen as ideal, those who do not match those traits and expectations are regarded as necessarily doing inferior work. She says,

The field worker’s goal, then, is to find out what the community takes to be knowledge, sensible action, and morality, as well as how its members account for unpredictable information, disturbing actions, and troubling motives. In my fieldwork I wanted to discover the physicists’ “common sense” world view, what everyone in the community knows, and what every newcomer needs to learn in order to act in a sensible way, in order to be taken seriously. (pg. 8)

And this is also the danger of focusing too closely on the laboratory: the potential for myopia, for thinking that the best or perhaps even only way to study the work of scientists is to render that work through the lens of the lab.

While the lab is a fantastic tool and studies of it provide great insight, we must remember that we can learn a great deal about science and technology via contexts other than that of the lab. While Latour argues that laboratory science actually destabilizes the inside-the-lab/outside-the-lab distinction by showing that the tools and methods of the lab can be brought anywhere out into the world, it can be said that the distinction is reinstantiated by our focusing on laboratories as the sole path to understand scientists. Much the same can be said for the insistence that systems engineers are the sole best examples of how to engage technological development. Thinking that labs are the only resource we have means that we will miss the behavior of researchers at conferences, retreats, in journal articles, and other places where the norms of the scientific community are inscribed and reinforced. It might not be the case that scientists understand themselves as creating community rules, in these fora, but this does not necessarily mean that they are not doing so.

The kinds of understandings a group has about themselves will not always align with what observations and descriptions might be gleaned from another’s investigation of that group, but this doesn’t mean that one of those has to be “right” or “true” while the other is “wrong” and “false.” The interest in studying a discipline should come not from that group’s “power” to “correctly” describe the world, but from understanding more about what it is about whatever group is under investigation that makes it itself. Rather than seeking a single correct perspective, we should instead embrace the idea that a multiplicity of perspectives might all be useful and beneficial, and then ask “To What End?”

We’re talking about Values, here. We’re talking about the question of why whatever it is that matters to you, matters to you. And how you can understand that other people have different values from each other, and we can all learn to talk about what we care about in a way that helps us understand each other. That’s not neutral, though. Even that can be turned against us, when it’s done in bad faith. And we have to understand why someone would want to do that, too.

[Direct link to Mp3]

My second talk for the SRI International Technology and Consciousness Workshop Series was about how nonwestern philosophies like Buddhism, Hinduism, and Daoism can help mitigate various kinds of bias in machine minds and increase compassion by allowing programmers and designers to think from within a non-zero-sum matrix of win conditions for all living beings, meaning engaging multiple tokens and types of minds, outside of the assumed human “default” of straight, white, cis, ablebodied, neurotypical male. I don’t have a transcript, yet, and I’ll update it when I make one. But for now, here are my slides and some thoughts.

A Discussion on Daoism and Machine Consciousness (Slides as PDF)

(The translations of the Daoist texts referenced in the presentation are available online: The Burton Watson translation of the Chuang Tzu and the Robert G. Hendricks translation of the Tao Te Ching.)

A zero-sum system is one in which there are finite resources, but more than that, it is one in which what one side gains, another loses. So by “A non-zero-sum matrix of win conditions” I mean a combination of all of our needs and wants and resources in such a way that everyone wins. Basically, we’re talking here about trying to figure out how to program a machine consciousness that’s a master of wu-wei and limitless compassion, or metta.

The whole week was about phenomenology and religion and magic and AI and it helped me think through some problems, like how even the framing of exercises like asking Buddhist monks to talk about the Trolley Problem will miss so much that the results are meaningless. That is, the trolley problem cases tend to assume from the outset that someone on the tracks has to die, and so they don’t take into account that an entire other mode of reasoning about sacrifice and death and “acceptable losses” would have someone throw themselves under the wheels or jam their body into the gears to try to stop it before it got that far. Again: There are entire categories of nonwestern reasoning that don’t accept zero-sum thought as anything but lazy, and which search for ways by which everyone can win, so we’ll need to learn to program for contradiction not just as a tolerated state but as an underlying component. These systems assume infinitude and non-zero-sum matrices where every being involved can win.

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What is The Real?

I have been working on this piece for a little more than a month, since just after Christmas. What with one thing, and another, I kept refining it while, every week, it seemed more and more pertinent and timely. You see, we need to talk about ontology.

Ontology is an aspect of metaphysics, the word translating literally to “the study of what exists.” Connotatively, we might rather say, “trying to figure out what’s real.” Ontology necessarily intersects with studies of knowledge and studies of value, because in order to know what’s real you have to understand what tools you think are valid for gaining knowledge, and you have to know whether knowledge is even something you can attain, as such.

Take, for instance, the recent evolution of the catchphrase of “fake news,” the thinking behind it that allows people to call lies “alternative facts,” and the fact that all of these elements are already being rotated through several dimensions of meaning that those engaging in them don’t seem to notice. What I mean is that the inversion of the catchphrase “fake news” into a cipher for active confirmation bias was always going to happen. It and any consternation at it comprise a situation that is borne forth on a tide of intentional misunderstandings.

If you were using fake to mean, “actively mendacious; false; lies,” then there was a complex transformation happening here, that you didn’t get:

There are people who value the actively mendacious things you deemed “wrong”—by which you meant both “factually incorrect” and “morally reprehensible”—and they valued them on a nonrational, often actively a-rational level. By this, I mean both that they value the claims themselves, and that they have underlying values which cause them to make the claims. In this way, the claims both are valued and reinforce underlying values.

So when you called their values “fake news” and told them that “fake news” (again: their values) ruined the country, they—not to mention those actively preying on their a-rational valuation of those things—responded with “Nuh-uh! your values ruined the country! And that’s why we’re taking it back! MAGA! MAGA! Drumpfthulhu Fhtagn!”

Logo for the National Geographic Channel’s “IS IT REAL?” Many were concerned that NG Magazine were going to change their climate change coverage after they were bought by 21st Century Fox.

You see? They mean “fake news” along the same spectrum as they mean “Real America.” They mean that it “FEELS” “RIGHT,” not that it “IS” “FACT.”

Now, we shouldn’t forget that there’s always some measure of preference to how we determine what to believe. As John Flowers puts it, ‘Truth has always had an affective component to it: those things that we hold to be most “true” are those things that “fit” with our worldview or “feel” right, regardless of their factual veracity.

‘We’re just used to seeing this in cases of trauma, e.g.: “I don’t believe he’s dead,” despite being informed by a police officer.’

Which is precisely correct, and as such the idea that the affective might be the sole determinant is nearly incomprehensible to those of us who are used to thinking of facts as things that are verifiable by reference to externalities as well as values. At least, this is the case for those of us who even relativistically value anything at all. Because there’s also always the possibility that the engagement of meaning plays out in a nihilistic framework, in which we have neither factual knowledge nor moral foundation.

Epistemic Nihilism works like this: If we can’t ever truly know anything—that is, if factual knowledge is beyond us, even at the most basic “you are reading these words” kind of level—then there is no description of reality to be valued above any other, save what you desire at a given moment. This is also where nihilism and skepticism intersect. In both positions nothing is known, and it might be the case that nothing is knowable.

So, now, a lot has been written about not only the aforementioned “fake news,” but also its over-arching category of “post-truth,” said to be our present moment where people believe (or pretend to believe) in statements or feelings, independent of their truth value as facts. But these ideas are neither new nor unique. In fact, Simpsons Did It. More than that, though, people have always allowed their values to guide them to beliefs that contradict the broader social consensus, and others have always eschewed values entirely, for the sake of self-gratification. What might be new, right now, is the willfulness of these engagements, or perhaps their intersection. It might be the case that we haven’t before seen gleeful nihilism so forcefully become the rudder of gormless, value-driven decision-making.

Again, values are not bad, but when they sit unexamined and are the sole driver of decisions, they’re just another input variable to be gamed, by those of a mind to do so. People who believe that nothing is knowable and nothing matters will, at the absolute outside, seek their own amusement or power, though it may be said that nihilism in which one cares even about one’s own amusement is not genuine nihilism, but is rather “nihilism,” which is just relativism in a funny hat. Those who claim to value nothing may just be putting forward a front, or wearing a suit of armour in order to survive an environment where having your values known makes you a target.

If they act as though they believe there is no meaning, and no truth, then they can make you believe that they believe that nothing they do matters, and therefore there’s, no moral content to any action they take, and so no moral judgment can be made on them for it. In this case, convincing people to believe news stories they make up is in no way materially different from researching so-called facts and telling the rest of us that we should trust and believe them. And the first way’s also way easier. In fact, preying on gullible people and using their biases to make yourself some lulz, deflect people’s attention, and maybe even get some of those sweet online ad dollars? That’s just common sense.

There’s still some something to be investigated, here, in terms of what all of this does for reality as we understand and experience it. How what is meaningful, what is true, what is describable, and what is possible all intersect and create what is real. Because there is something real, here—not “objectively,” as that just lets you abdicate your responsibility for and to it, but perhaps intersubjectively. What that means is that we generate our reality together. We craft meaning and intention and ideas and the words to express them, together, and the value of those things and how they play out all sit at the place where multiple spheres of influence and existence come together, and interact.

To understand this, we’re going to need to talk about minds and phenomenological experience.

 

What is a Mind?

We have discussed before the idea that what an individual is and what they feel is not only shaped by their own experience of the world, but by the exterior forces of society and the expectations and beliefs of the other people with whom they interact. These social pressures shape and are shaped by all of the people engaged in them, and the experience of existence had by each member of the group will be different. That difference will range on a scale from “ever so slight” to “epochal and paradigmatic,” with the latter being able to spur massive misunderstandings and miscommunications.

In order to really dig into this, we’re going to need to spend some time thinking about language, minds, and capabilities.

Here’s an article that discusses the idea that you mind isn’t confined to your brain. This isn’t meant in a dualistic or spiritualistic sense, but as the fundamental idea that our minds are more akin to, say, an interdependent process that takes place via the interplay of bodies, environments, other people, and time, than they are to specifically-located events or things. The problem with this piece, as my friends Robin Zebrowski and John Flowers both note, is that it leaves out way too many thinkers. People like Andy Clark, David Chalmers, Maurice Merleau-Ponty, John Dewey, and William James have all discussed something like this idea of a non-local or “extended” mind, and they are all greatly preceded by the fundamental construction of the Buddhist view of the self.

Within most schools of Buddhism, Anatta, or “no self” is how one refers to one’s indvidual nature. Anatta is rooted in the idea that there is no singular, “true” self. To vastly oversimplify, there is an concept known as “The Five Skandhas” or “aggregates.” These are the parts of yourself that are knowable and which you think of as permanent, and they are your:

Material Form (Body)
Feelings (Pleasure, Pain, Indifference)
Perception (Senses)
Mental Formations (Thoughts)
Consciousness

http://www.mountainsoftravelphotos.com/Tibet%20-%20Buddhism/Wheel%20Of%20Life/Wheel%20Of%20Life/slides/Tibetan%20Buddhism%20Wheel%20Of%20Life%2007%2004%20Mind%20And%20Body%20-%20People%20In%20Boat.JPG

Image of People In a Boat, from a Buddhist Wheel of Life.

Along with the skandhas, there are two main arguments that go into proving that you don’t have a self, known as “The Argument From Control” (1) and “The Argument from Impermanence” (2)
1) If you had a “true self,” it would be the thing in control of the whole of you, and since none of the skandhas is in complete control of the rest—and, in fact, all seem to have some measure of control over all—none of them is your “true self.”
2) If you had a “true self,” it would be the thing about you that was permanent and unchanging, and since none of the skandhas is permanent and unchanging—and, in fact, all seem to change in relation to each other—none of them is your “true self.”

The interplay between these two arguments also combines with an even more fundamental formulation: If only the observable parts of you are valid candidates for “true selfhood,” and if the skandhas are the only things about yourself that you can observe, and if none of the skandhas is your true self, then you have no true self.

Take a look at this section of “The Questions of King Milinda,” for a kind of play-by-play of these arguments in practice. (But also remember that Milinda was Menander, a man who was raised in the aftermath of Alexandrian Greece, and so he knew the works of Socrates and Plato and Aristotle and more. So that use of the chariot metaphor isn’t an accident.)

We are an interplay of forces and names, habits and desires, and we draw a line around all of it, over and over again, and we call that thing around which we draw that line “us,” “me,” “this-not-that.” But the truth of us is far more complex than all of that. We minds in bodies and in the world in which we live and the world and relationships we create. All of which kind of puts paid to the idea that an octopus is like an alien to us because it thinks with its tentacles. We think with ours, too.

As always, my tendency is to play this forward a few years to make us a mirror via which to look back at ourselves: Combine this idea about the epistemic status of an intentionally restricted machine mind; with the StackGAN process, which does “Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks,” or, basically, you describe in basic English what you want to see and the system creates a novel output image of it; with this long read from NYT on “The Great AI Awakening.”

This last considers how Google arrived at the machine learning model it’s currently working with. The author, Gideon Lewis-Kraus, discusses the pitfalls of potentially programming biases into systems, but the whole piece displays a kind of… meta-bias? Wherein there is an underlying assumption that “philosophical questions” are, again, simply shorthand for “not practically important,” or “having no real-world applications,” even the author discusses ethics and phenomenology, and the nature of what makes a mind. In addition to that, there is a just startling lack of gender variation, within the piece.

Because asking the question, “How do the women in Silicon Valley remember that timeframe,” is likely to get you get you very different perspectives than what we’re presented with, here. What kind of ideas were had by members of marginalized groups, but were ignored or eternally back-burnered because of that marginalization? The people who lived and worked and tried to fit in and have their voices heard while not being a “natural” for the framework of that predominantly cis, straight, white, able-bodied (though the possibility of unassessed neuroatypicality is high), male culture will likely have different experience, different contextualizations, than those who do comprise the predominant culture. The experiences those marginalized persons share will not be exactly the same, but there will be a shared tone and tenor of their construction that will most certainly set itself apart from those of the perceived “norm.”

Everyone’s lived experience of identity will manifest differently, depending upon the socially constructed categories to which they belong, which means that even those of us who belong to one or more of the same socially constricted categories will not have exactly the same experience of them.

Living as a disabled woman, as a queer black man, as a trans lesbian, or any number of other identities will necessarily colour the nature of what you experience as true, because you will have access to ways of intersecting with the world that are not available to people who do not live as you live. If your experience of what is true differs, then this will have a direct impact on what you deem to be “real.”

At this point, you’re quite possibly thinking that I’ve undercut everything we discussed in the first section; that now I’m saying there isn’t anything real, and that’s it’s all subjective. But that’s not where we are. If you haven’t, yet, I suggest reading Thomas Nagel’s “What Is It Like To Be A Bat?“ for a bit on individually subjective phenomenological experience, and seeing what he thinks it does and proves. Long story short, there’s something it “is like” to exist as a bat, and even if you or I could put our minds in a bat body, we would not know what it’s like to “be” a bat. We’d know what it was like to be something that had been a human who had put its brain into a bat. The only way we’d ever know what it was like to be a bat would be to forget that we were human, and then “we” wouldn’t be the ones doing the knowing. (If you’re a fan of Terry Pratchett’s Witch books, in his Discworld series, think of the concept of Granny Weatherwax’s “Borrowing.”)

But what we’re talking about isn’t the purely relative and subjective. Look carefully at what we’ve discussed here: We’ve crafted a scenario in which identity and mind are co-created. The experience of who and what we are isn’t solely determined by our subjective valuation of it, but also by what others expect, what we learn to believe, and what we all, together, agree upon as meaningful and true and real. This is intersubjectivity. The elements of our constructions depend on each other to help determine each other, and the determinations we make for ourselves feed into the overarching pool of conceptual materials from which everyone else draws to make judgments about themselves, and the rest of our shared reality.

 

The Yellow Wallpaper

Looking at what we’ve woven, here, what we have is a process that must be undertaken before certain facts of existence can be known and understood (the experiential nature of learning and comprehension being something else that we can borrow from Buddhist thought). But it’s still the nature of such presentations to be taken up and imitated by those who want what they perceive as the benefits or credit of having done the work. Certain people will use the trappings and language by which we discuss and explore the constructed nature of identity, knowledge, and reality, without ever doing the actual exploration. They are not arguing in good faith. Their goal is not truly to further understanding, or to gain a comprehension of your perspective, but rather to make you concede the validity of theirs. They want to force you to give them a seat at the table, one which, once taken, they will use to loudly declaim to all attending that, for instance, certain types of people don’t deserve to live, by virtue of their genetics, or their socioeconomic status.

Many have learned to use the conceptual framework of social liberal post-structuralism in the same way that some viruses use the shells of their host’s cells: As armour and cover. By adopting the right words and phrases, they may attempt to say that they are “civilized” and “calm” and “rational,” but make no mistake, Nazis haven’t stopped trying to murder anyone they think of as less-than. They have only dressed their ideals up in the rhetoric of economics or social justice, so that they can claim that anyone who stands against them is the real monster. Incidentally, this tactic is also known to be used by abusers to justify their psychological or physical violence. They manipulate the presentation of experience so as to make it seem like resistance to their violence is somehow “just as bad” as their violence. When, otherwise, we’d just call it self-defense.

If someone deliberately games a system of social rules to create a win condition in which they get to do whatever the hell they want, that is not of the same epistemic, ontological, or teleological—meaning, nature, or purpose—let alone moral status as someone who is seeking to have other people in the world understand the differences of their particular lived experience so that they don’t die. The former is just a way of manipulating perceptions to create a sense that one is “playing fair” when what they’re actually doing is making other people waste so much of their time countenancing their bullshit enough to counter and disprove it that they can’t get any real work done.

In much the same way, there are also those who will pretend to believe that facts have no bearing, that there is neither intersubjective nor objective verification for everything from global temperature levels to how many people are standing around in a crowd. They’ll pretend this so that they can say what makes them feel powerful, safe, strong, in that moment, or to convince others that they are, or simply, again, because lying and bullshitting amuses them. And the longer you have to fight through their faux justification for their lies, the more likely you’re too exhausted or confused about what the original point was to do anything else.

Side-by-side comparison of President Obama’s first Inauguration (Left) and Donald Trump’s Inauguration (Right).

If we are going to maintain a sense of truth and claim that there are facts, then we must be very careful and precise about the ways in which we both define and deploy them. We have to be willing to use the interwoven tools and perspectives of facts and values, to tap into the intersubjectively created and sustained world around us. Because, while there is a case to be made that true knowledge is unattainable, and some may even try to extend that to say that any assertion is as good as any other, it’s not necessary that one understands what those words actually mean in order to use them as cover for their actions. One would just have to pretend well enough that people think it’s what they should be struggling against. And if someone can make people believe that, then they can do and say absolutely anything.


A large part of how I support myself in the endeavor to think in public is with your help, so if you like what you’ve read here, and want to see more like it, then please consider becoming either a recurring Patreon subscriber or making a one-time donation to the Tip Jar, it would be greatly appreciated.
And thank you.

 

-Human Dignity-

The other day I got a CFP for “the future of human dignity,” and it set me down a path thinking.

We’re worried about shit like mythical robots that can somehow simultaneously enslave us and steal the shitty low paying jobs we none of us want to but all of us have to have so we can pay off the debt we accrued to get the education we were told would be necessary to get those jobs, while other folks starve and die of exposure in a world that is just chock full of food and houses…

About shit like how we can better regulate the conflated monster of human trafficking and every kind of sex work, when human beings are doing the best they can to direct their own lives—to live and feed themselves and their kids on their own terms—without being enslaved and exploited…

About, fundamentally, how to make reactionary laws to “protect” the dignity of those of us whose situations the vast majority of us have not worked to fully appreciate or understand, while we all just struggle to not get: shot by those who claim to protect us, willfully misdiagnosed by those who claim to heal us, or generally oppressed by the system that’s supposed to enrich and uplift us…

…but no, we want to talk about the future of human dignity?

Louisiana’s drowning, Missouri’s on literal fire, Baltimore is almost certainly under some ancient mummy-based curse placed upon it by the angry ghost of Edgar Allan Poe, and that’s just in the One Country.

Motherfucker, human dignity ain’t got a Past or a Present, so how about let’s reckon with that before we wax poetically philosophical about its Future.

I mean, it’s great that folks at Google are finally starting to realise that making sure the composition of their teams represents a variety of lived experiences is a good thing. But now the questions are, 1) do they understand that it’s not about tokenism, but about being sure that we are truly incorporating those who were previously least likely to be incorporated, and 2) what are we going to do to not only specifically and actively work to change that, but also PUBLICIZE THAT WE NEED TO?

These are the kinds of things I mean when I say, “I’m not so much scared of/worried about AI as I am about the humans who create and teach them.”

There’s a recent opinion piece at the Washington Post, titled “Why perceived inequality leads people to resist innovation,”. I read something like that and I think… Right, but… that perception is a shared one based on real impacts of tech in the lives of many people; impacts which are (get this) drastically unequal. We’re talking about implications across communities, nations, and the world, at an intersection with a tech industry that has a really quite disgusting history of “disruptively innovating” people right out of their homes and lives without having ever asked the affected parties about what they, y’know, NEED.

So yeah. There’s a fear of inequality in the application of technological innovation… Because there’s a history of inequality in the application of technological innovation!

This isn’t some “well aren’t all the disciplines equally at fault here,” pseudo-Kumbaya false equivalence bullshit. There are neoliberal underpinnings in the tech industry that are basically there to fuck people over. “What the market will bear” is code for, “How much can we screw people before there’s backlash? Okay so screw them exactly that much.” This model has no regard for the preexisting systemic inequalities between our communities, and even less for the idea that it (the model) will both replicate and iterate upon those inequalities. That’s what needs to be addressed, here.

Check out this piece over at Killscreen. We’ve talked about this before—about how we’re constantly being sold that we’re aiming for a post-work economy, where the internet of things and self-driving cars and the sharing economy will free us all from the mundaneness of “jobs,” all while we’re simultaneously being asked to ignore that our trajectory is gonna take us straight through and possibly land us square in a post-Worker economy, first.

Never mind that we’re still gonna expect those ex-workers to (somehow) continue to pay into capitalism, all the while.

If, for instance, either Uber’s plan for a driverless fleet or the subsequent backlash from their stable—i mean “drivers” are shocking to you, then you have managed to successfully ignore this trajectory.

Completely.

Disciplines like psychology and sociology and history and philosophy? They’re already grappling with the fears of the ones most likely to suffer said inequality, and they’re quite clear on the fact that, the ones who have so often been fucked over?

Yeah, their fears are valid.

You want to use technology to disrupt the status quo in a way that actually helps people? Here’s one example of how you do it: “Creator of chatbot that beat 160,000 parking fines now tackling homelessness.”

Until then, let’s talk about constructing a world in which we address the needs of those marginalised. Let’s talk about magick and safe spaces.

 

-Squaring the Circle-

Speaking of CFPs, several weeks back, I got one for a special issue of Philosophy and Technology on “Logic As Technology,” and it made me realise that Analytic Philosophy somehow hasn’t yet understood and internalised that its wholly invented language is a technology

…and then that realisation made me realise that Analytic Philosophy hasn’t understood that language as a whole is a Technology.

And this is something we’ve talked about before, right? Language as a technology, but not just any technology. It’s the foundational technology. It’s the technology on which all others are based. It’s the most efficient way we have to cram thoughts into the minds of others, share concept structures, and make the world appear and behave the way we want it to. The more languages we know, right?

We can string two or more knowns together in just the right way, and create a third, fourth, fifth known. We can create new things in the world, wholecloth, as a result of new words we make up or old words we deploy in new ways. We can make each other think and feel and believe and do things, with words, tone, stance, knowing looks. And this is because Language is, at a fundamental level, the oldest magic we have.

1528_injection_splash

Scene from the INJECTION issue #3, by Warren Ellis, Declan Shalvey, and Jordie Bellaire. ©Warren Ellis & Declan Shalvey.

Lewis Carroll tells us that whatever we tell each other three times is true, and many have noted that lies travel far faster than the truth, and at the crux of these truisms—the pivot point, where the power and leverage are—is Politics.

This week, much hay is being made is being made about the University of Chicago’s letter decrying Safe Spaces and Trigger Warnings. Ignoring for the moment that every definition of “safe space” and “trigger warning” put forward by their opponents tends to be a straw man of those terms, let’s just make an attempt to understand where they come from, and how we can situate them.

Trauma counseling and trauma studies are the epitome of where safe space and trigger warnings come from, and for the latter, that definition is damn near axiomatic. Triggers are about trauma. But safe space language has far more granularity than that. Microggressions are certainly damaging, but they aren’t on the same level as acute traumas. Where acute traumas are like gun shots or bomb blasts (and may indeed be those actual things), societal micragressions are more like a slow constant siege. But we still need the language of a safe spaces to discuss them—said space is something like a bunker in which to regroup, reassess, and plan for what comes next.

Now it is important to remember that there is a very big difference between “safe” and “comfortable,” and when laying out the idea of safe spaces, every social scientist I know takes great care to outline that difference.

Education is about stretching ourselves, growing and changing, and that is discomfort almost by definition. I let my students know that they will be uncomfortable in my class, because I will be challenging every assumption they have. But discomfort does not mean I’m going to countenance racism or transphobia or any other kind of bigotry.

Because the world is not a safe space, but WE CAN MAKE IT SAFER for people who are microagressed against, marginalised, assaulted, and killed for their lived identities, by letting them know not only how to work to change it, but SHOWING them through our example.

Like we’ve said, before: No, the world’s not safe, kind, or fair, and with that attitude it never will be.

So here’s the thing, and we’ll lay it out point-by-point:

A Safe Space is any realm that is marked out for the nonjudgmental expression of thoughts and feelings, in the interest of honestly assessing and working through them.

Safe Space” can mean many things, from “Safe FROM Racist/Sexist/Homophobic/Transphobic/Fatphobic/Ableist Microagressions” to “safe FOR the thorough exploration of our biases and preconceptions.” The terms of the safe space are negotiated at the marking out of them.

The terms are mutually agreed-upon by all parties. The only imposition would be, to be open to the process of expressing and thinking through oppressive conceptual structures.

Everything else—such as whether to address those structures as they exist in ourselves (internalised oppressions), in others (aggressions, micro- or regular sized), or both and their intersection—is negotiable.

The marking out of a Safe Space performs the necessary function, at the necessary time, defined via the particular arrangement of stakeholders, mindset, and need.

And, as researcher John Flowers notes, anyone who’s ever been in a Dojo has been in a Safe Space.

From a Religious Studies perspective, defining a safe space is essentially the same process as that of marking out a RITUAL space. For students or practitioners of any form of Magic[k], think Drawing a Circle, or Calling the Corners.

Some may balk at the analogy to the occult, thinking that it cheapens something important about our discourse, but look: Here’s another way we know that magick is alive and well in our everyday lives:

If they could, a not-insignificant number of US Republicans would overturn the Affordable Care Act and rally behind a Republican-crafted replacement (RCR). However, because the ACA has done so very much good for so many, it’s likely that the only RCR that would have enough support to pass would be one that looked almost identical to the ACA. The only material difference would be that it didn’t have President Obama’s name on it—which is to say, it wouldn’t be associated with him, anymore, since his name isn’t actually on the ACA.

The only reason people think of the ACA as “Obamacare” is because US Republicans worked so hard to make that name stick, and now that it has been widely considered a triumph, they’ve been working just as hard to get his name away from it. And if they did mange to achieve that, it would only be true due to some arcane ritual bullshit. And yet…

If they managed it, it would be touted as a “Crushing defeat for President Obama’s signature legislation.” It would have lasting impacts on the world. People would be emboldened, others defeated, and new laws, social rules, and behaviours would be undertaken, all because someone’s name got removed from a thing in just the right way.

And that’s Magick.

The work we do in thinking about the future sometimes requires us to think about things from what stuffy assholes in the 19th century liked to call a “primitive” perspective. They believed in a kind of evolutionary anthropological categorization of human belief, one in which all societies move from “primitive” beliefs like magic through moderate belief in religion, all the way to sainted perfect rational science. In the contemporary Religious Studies, this evolutionary model is widely understood to be bullshit.

We still believe in magic, we just call it different things. The concept structures of sympathy and contagion are still at play, here, the ritual formulae of word and tone and emotion and gesture all still work when you call them political strategy and marketing and branding. They’re all still ritual constructions designed to make you think and behave differently. They’re all still causing spooky action at a distance. They’re still magic.

The world still moves on communicated concept structure. It still turns on the dissemination of the will. If I can make you perceive what I want you to perceive, believe what I want you to believe, move how I want you to move, then you’ll remake the world, for me, if I get it right. And I know that you want to get it right. So you have to be willing to understand that this is magic.

It’s not rationalism.

It’s not scientism.

It’s not as simple as psychology or poll numbers or fear or hatred or aspirational belief causing people to vote against their interests. It’s not that simple at all. It’s as complicated as all of them, together, each part resonating with the others to create a vastly complex whole. It’s a living, breathing thing that makes us think not just “this is a thing we think” but “this is what we are.” And if you can do that—if you can accept the tools and the principles of magic, deploy the symbolic resonance of dreamlogic and ritual—then you might be able to pull this off.

But, in the West, part of us will always balk at the idea that the Rational won’t win out. That the clearer, more logical thought doesn’t always save us. But you have to remember: Logic is a technology. Logic is a tool. Logic is the application of one specific kind of thinking, over and over again, showing a kind of result that we convinced one another we preferred to other processes. It’s not inscribed on the atoms of the universe. It is one kind of language. And it may not be the one most appropriate for the task at hand.

Put it this way: When you’re in Zimbabwe, will you default to speaking Chinese? Of course not. So why would we default to mere Rationalism, when we’re clearly in a land that speaks a different dialect?

We need spells and amulets, charms and warded spaces; we need sorcerers of the people to heal and undo the hexes being woven around us all.

 

-Curious Alchemy-

Ultimately, the rigidity of our thinking, and our inability to adapt has lead us to be surprised by too much that we wanted to believe could never have come to pass. We want to call all of this “unprecedented,” when the truth of the matter is, we carved this precedent out every day for hundreds of years, and the ability to think in weird paths is what will define those who thrive.

If we are going to do the work of creating a world in which we understand what’s going on, and can do the work to attend to it, then we need to think about magic.

 


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