This article provides insight into the entwinement of the allegedly neutral category of handedness with questions of sex/gender, reproduction, dis/ability, and scientific authority. In the 1860s, Paul Broca suggested that the speech centre sat in the left brain hemisphere in most humans, and that right-handedness stemmed from this asymmetry. One century later, British psychologists Marian Annett and Chris McManus proposed biologically unconfirmed theories of how handedness and brain asymmetry were passed on in families. Their idea to integrate chance into genetic (...) models of handedness was novel, and so was their use of computerized statistics to parse out the incidence of handedness genotypes and phenotypes. Notwithstanding significant conceptual and methodological overlaps, McManus and Annett did not collaborate and proposed competing theories. I analyse the sexed/gendered dimensions of their controversy by drawing on published literature, unpublished documents, and oral history interviews. I first attend to the epistemological importance of sex/gender. Both psychologists published several iterations of their models, which increasingly relied on questions of sex/gender and reproduction. Annett additionally linked handedness with stereotypically gendered cognitive abilities. Second, I argue that using masculine-coded computer technologies contributed to Annett’s professional marginalization whereas similar methods endowed McManus with surplus authority. Finally, I show that Annett’s complicity in stabilizing sociocultural hierarchies within her theory mirrored her personal experience of marginalization based on sex/gender, age, education, and lack of institutional affiliation. This analysis exemplifies the entanglement of cognitive and social factors in scientific controversies and adds to the literature on 20th-century British women psychologists. (shrink)

In this article, drawing upon a feminist epistemology, we examine the critical roles that philosophical standpoint, historical usage, gender, and language play in a knowledge arena which is increasingly opaque to the general public. Focussing on the language dimension in particular, in its historical and social dimensions, we explicate how some keywords in use across artificial intelligence (AI) discourses inform and misinform non-expert understandings of this area. The insights gained could help to imagine how AI technologies could be better conceptualised, (...) explained, and governed, so that they are leveraged for social good. (shrink)

As computers became multi-component systems in the 1950s, handling the speed differentials efficiently was identified as a major challenge. The desire for better understanding and control of ‘concurrency’ spread into hardware, software, and formalism. This paper examines the way in which the problem emerged and was handled across various computing cultures from 1955 to 1985. In the machinic culture of the late 1950s, system programs called ‘monitors’ were used for directly managing synchronisation. Attempts to reframe synchronisation in the subsequent algorithmic (...) culture pushed the problem to a higher level of abstraction; Dijkstra’s semaphores were a reaction to the algorithms’ complexity. Towards the end of the 1960s, the culture of ‘structured programming’ created a milieu in which Dijkstra, Hoare, and Brinch Hansen (among others) aimed for a concurrency primitive which embodied the new view of programming. Via conditional critical regions and Dijkstra’s ‘secretaries’, the co-produced ‘monitor’ appeared to provide the desired encapsulation. The construct received embodiment in a few programming languages; this paper ends by considering Modula and Concurrent Pascal. (shrink)

Connecting corporate software work in the United States and Germany, this essay tracks the racialization of mostly male Indian software engineers through the casualization of their labor. In doing so, I show the connections between overt, anti-immigrant violence today and the ongoing use of race to sediment divisions of labor in the industry as a whole. To explain racialization in the tech industry, I develop the concept of race-as-algorithm as a device to unpack how race is made productive within digital (...) economies and to show the flexibility of race as it works to create orders of classification that are sensitive to context. Using evidence collected through observation in tech offices and through interviews with programmers over five years, I track race as an essential but continually disavowed variable within the construction of global tech economies. Historical racializations of casual labor in plantation economies illuminates how casualness marks laborers whose rights can be muted and allows corporations to deny their culpability in promoting discrimination within and outside of the tech industry. These denials occur across a political field that divides “good” from “bad” migrants. Using the ethnographic symptoms that Indian tech workers identify in their environments, this essay reads these signs as an antidote to these continued denials. (shrink)

Audiovisual communication is greatly contributing to the emerging research field of affective computing. The use of audiovisual stimuli within immersive virtual reality environments is providing very intense emotional reactions, which provoke spontaneous physical and physiological changes that can be assimilated into real responses. In order to ensure high-quality recognition, the artificial intelligence system must be trained with adequate data sets, including not only those gathered by smart sensors but also the tags related to the elicited emotion. Currently, there are very (...) few techniques available for the labeling of emotions. Among them, the Self-Assessment Manikin devised by Lang is one of the most popular. This study shows experimentally that the graphic proposal for the original SAM labelling system, as devised by Lang, is not neutral to gender and contains gender biases in its design and representation. Therefore, a new graphic design has been proposed and tested according to the guidelines of expert judges. The results of the experiment show an overall improvement in the labeling of emotions in the pleasure–arousal–dominance affective space, particularly, for women. This research proves the relevance of applying the gender perspective in the validation of tools used throughout the years. (shrink)

The women’s liberation movements that emerged in Britain in the late 1960s are rarely thought of through their relationship with technology and technical knowledge. To overlook this is to misunderstand the movement’s social, cultural and economic interventions; it also understates how the technical environment conditioned the emergence of autonomous, women-centred politics. This article draws on archival evidence to demonstrate how the autonomous women’s liberation movement created experimental social contexts that enabled de-skilled, feminised social classes to confront their technical environment and (...) the deficits they experienced within it. The context for forging such politics was the workshop. More than a one-off, skill-sharing event, the workshop was a mobile habitus, adapted from a Marxist craft politics that prioritised the distribution of collective knowledge and responsibility and enabled the realisation of women's self-determination and autonomy. The workshop was discursively extended through women-authored publications in the 1970s and 1980s and designated a specific orientation within knowledge that supported women to practise a range of technical knowledge and gain expertise. An important, and largely forgotten political legacy of women's liberation is its world-making activisms: how it created social contexts that supported de-skilled, feminised classes to substantially intervene, shape and re-build their environments. Such histories can inspire how we practise politics today within an environment characterised, some theorists claim, by dramatic scales of de-skilling and dispossession. (shrink)

Live coding is an embodied, sensorial and live technological–human relationship that is recursively iterated through sonic and visual outputs based on what we argue are kinship relations between and through bodies and technology. At the same time, and in a familiar moment of déjà vu for feminist scholars, live coding is most often discussed not in relation to the lived and sensory human–technology kinship, but in terms of fetishised code or software, output and agency. As feminist scholars have long argued, (...) emphasising and fetishising code or software, and celebrating output and agency are normatively masculine, white and Western conceptions of technology that feed into the growing valorisation of accelerationist logic whilst also negating embodied, not to mention other (non-white, Western, masculine) bodies, expertise or histories per se. In this article, we want to redress this by drawing on our empirical material on live coding to focus on human–technology kinship and, in so doing, think about failure, slowness and embodiment and about human–technology relations that are more akin to what Alison Kafer (drawing on the work of Donna Haraway) has termed ‘becoming with’ or ‘making kin’. This, we argue, has the potential to shift the focus from the potentialities of technologies on or through the body, towards the generative capacities of mediation (including failure), which are caught up in lived experiences. The question is not only about how the relations of bodies and technologies are played out in certain circumstances but about what might be played out if we reconceptualise these relations in these terms. (shrink)

The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data collection is driven by the perpetual cycle of capital accumulation, which in turn drives capital to construct and rely upon a universe in which everything is made of data. The imperative to capture all data, from all sources, by any means possible (...) influences many key decisions about business models, political governance, and technological development. This article argues that many common practices of data accumulation should actually be understood in terms of data extraction, wherein data is taken with little regard for consent and compensation. By understanding data as a form capital, we can better analyse the meaning, practices, and implications of datafication as a political economic regime. (shrink)

The social impacts of computer technology are often glorified in public discourse, but there is growing concern about its actual effects on society. In this article, we ask: how does “consent” as an analytical framework make visible the social dynamics and power relations in the capture, extraction, and labor of data science knowledge production? We hypothesize that a form of boundary violation in data science workplaces—gender harassment—may correlate with the ways humans’ lived experiences are extracted to produce Big Data. The (...) concept of consent offers a useful way to draw comparisons between gender relations in data science and the means by which machines are trained to learn and reason. Inspired by how Big Tech leaders describe unsupervised machine learning, and the co-optation of “revolutionary” rhetoric they use to do so, we introduce a concept we call “techniques of invisibility.” Techniques of invisibility are the ways in which an extreme imbalance between exposure and opacity, demarcated along fault lines of power, are fabricated and maintained, closing down the possibility for bidirectional transparency in the production and applications of algorithms. Further, techniques of invisibility, which we group into two categories—epistemic injustice and the Brotherhood—include acts of subjection by powerful actors in data science designed to quell resistance to exploitative relations. These techniques may be useful in making further connections between epistemic violence, sexism, and surveillance, sussing out persistent boundary violations in data science to render the social in data science visible, and open to scrutiny and debate. (shrink)

In this article, I would like to take a somewhat closer look at the politics of hashtags surrounding wave of street actions known as Black Protest, held nation-wide in Poland on October 2016. Analysing the use of social media as the form of digital activism, I strive at both mitigating the fallacy of digital dualism and demystifying the notion of ‘Twitter revolutions’. The term was popularized by over-enthusiastic accounts of the social movements between 2009 and 2011. I propose to see (...) the employment of social media platforms as the form of weak opposition and to some extent, to explain its efficiency by the ability to reclaim and mobilize the narrative power of hashtags. ‘Weak’ here means everyday, often mundane, and hence under-recognized acts as opposed to activity considered ‘heroic’ and placed in the spotlight, with all gender-based ideological and interpretative undercurrents associated with such a juxtaposition. (shrink)

What does it take for a group of people to know how to do something? An account of collective practical knowledge ought to be compatible with the linguistic evidence about the semantics for collective knowledge-how ascriptions, be able to explain the practicality of collective knowledge, be able to explain both the connection between individual and collective know-how and the possibility of a group knowing how to do something none of its members know, and be applicable to a suitably wide range (...) of groups. In this paper I develop a view which can meet all of these desiderata, which combines a Fragmented account of collective knowledge (Habgood-Coote, 2019a), with the view that practical knowledge is an Interrogative Capacity (Habgood-Coote, 2019b). (shrink)

This essay considers how scholarly approaches to the development of molecular biology have too often narrowed the historical aperture to genes, overlooking the ways in which other objects and processes contributed to the molecularization of life. From structural and dynamic studies of biomolecules to cellular membranes and organelles to metabolism and nutrition, new work by historians, philosophers, and STS scholars of the life sciences has revitalized older issues, such as the relationship of life to matter, or of physicochemical inquiries to (...) biology. This scholarship points to a novel molecular vista that opens up a pluralist view of molecularizations in the twentieth century and considers their relevance to current science. (shrink)

Turing made strong statements about the future of machines in society. This article asks how they can be interpreted to advance our understanding of Turing’s philosophy. His irony has been largely caricatured or minimized by historians, philosophers, scientists, and others. Turing is often portrayed as an irresponsible scientist, or associated with childlike manners and polite humor. While these representations of Turing have been widely disseminated, another image suggested by one of his contemporaries, that of a nonconformist, utopian, and radically progressive (...) thinker reminiscent of the English Romantic poet Percy B. Shelley, has remained largely underexplored. Following this image, I will reconstruct the argument underlying what Turing called (but denied being guilty of) his “Promethean irreverence” (1947–1951) as a utopian satire directed against chauvinists of all kinds, especially intellectuals who might sacrifice independent thought to maintain their power. These, Turing hoped, would eventually be rivaled and surpassed by intelligent machines and transformed into ordinary people, as work once considered “intellectual” would be transformed into non-intellectual, “mechanical” work. I study Turing’s irony in its historical context and follow the internal logic of his arguments to their limit. I suggest that Turing genuinely believed that the possibilities of the machines he envisioned were not utopian dreams, and yet he conceived them from a utopian frame of mind, aspiring to a different society. His ever-learning child machines, whose intelligence would grow out of their own individual experiences, would help distribute power. (shrink)

Many researchers insist that computational methods will transform the historical profession, while an equally large number reject these claims as unwarranted hype. This study attempts to place the debate in historical and social context. The essay is divided into three parts. The first part offers a brief review of computational history. It asks whether the “computational turn” bears any resemblance to quantitative history and how it fits within the digital humanities. The second part describes the authors’ recent attempts to apply (...) computational methods to an existing project in the history of science using a standardized workflow. It demonstrates that each step of the workflow adds another layer of subjectivity. The third part reflects on what computational methods mean for the historical profession. It systematically reviews the positive aspects of computational history (open access, interdisciplinary collaboration, and new perspectives) as well as the negative aspects (inequality, fragility, and the threat of automation) and offers prescriptions based on the authors’ experiences. (shrink)

The thesis introduces and criticizes the discourse on technology, with a specific reference to the concept of AI. The discourse on AI is particularly saturated with reified metaphors which drive connotations and delimit understandings of technology in society. To better analyse the discourse on AI, the thesis proposes the concept of “Expected AI”, a composite signifier filled with historical and sociocultural connotations, and numerous referent objects. Relying on cultural semiotics, science and technology studies, and a diverse selection of heuristic concepts, (...) the thesis delves beneath the surface of AI discourse and demonstrates the hidden political, social, cultural, and ecological dangers of AI. The entanglement of the discourse(s) with (science) fiction, folklore, myth, and religion impacts how AI is perceived and received, as well as the expectations to AI-enabled technologies now and in the future. The thesis also proposes a more ethical and comprehensive ontological model for AI systems. The model describes AI systems as complex figurations, considering their socio-material organisation, global economic-material becoming, and impact on the environment, social institutions, and the semiosphere. The dissertation argues that AI should be understood not just as an object or sociotechnical system, but as its entire product chain encompassing people and cultures, as well as the used resources and impact (both material-ecological and semiotic) on a planetary scale. (shrink)

Games are trouble. As faculty members in a Game Development program we are aware of the troubles. As inside–outsiders, given our status as queer women in the male-dominated Games field, both with interdisciplinary art-tech-humanities backgrounds as opposed to STEM, we are the ones commonly tasked with ‘fixing’ these troubles. This tasking comes to us in the form of both assumptions and requests about our providing particular types of education to others, both faculty and students, as fixes to Game-troubles: teaching the (...) gender module; sitting on an LGBTQ+ committee; advising a particular student who is also outside the more comfortable purview of Games; and so forth. While our labor is often assumed, it is not fully valued, evidenced by the ways in which it is chronically under-resourced. And, given this lack of sustainability, our labor is not effective in the ways we intend. Often, our fixes only serve to a fix ourselves, further cementing us as outsiders. Our fixes are diluted until they become performative gestures, absolving others of the need to act, but changing little else. Acting ‘in a fix’ is something we no longer wish to do. Instead we untangle and re-tangle in a new way, drawing on the work of Feminist New Materialists to develop imaginative new models for a more just and joyful future Games pedagogy. We share not only our research on this topic, but also invite you into our own intimate experiences of play-making, foregrounding this as knowledge-making too. We offer these crossings between text and context, history and future Ahmed, 2008, memory and fiction as a speculative fabulation for future Games pedagogies. (shrink)