This paper investigates the relationship between the role that information technology (IT) has played in the development of women’s employment, the possibility of women having a significant influence on the technology’s development, and the way that the IT industry perceives women as computer scientists, users and consumers. The industry’s perception of women and men is investigated through the portrayal of them in computing advertisements. While women are increasingly updating their technological skills and know-how, and through this process are entering some (...) positions in the workplace traditionally occupied by men, these achievements are not mirrored in their social and occupational status. The computer industry and higher education have worryingly low numbers of women, while the possibility of women influencing the development of computer technology is just emerging in feminist research. This paper argues that, though the IT industry, through their self-regulatory codes, subscribes to equal treatment of sexes, races and persons with disabilities, the industry nevertheless paints a stereotyped picture of inequality when portraying men and women in computer advertisements. As long as such a perception of women prevails within the industry, it will stand as a barrier to women having equal access to computer technology. If advertisements influence the way society perceives major social constructs and issues, then the computing industry has a social responsibility to portray men and women in an equal and non-stereotypical fashion. (shrink)

This paper considers the ways that Information Ethics (IE) treats things. A number of critics have focused on IE’s move away from anthropocentrism to include non-humans on an equal basis in moral thinking. I enlist Actor Network Theory, Dennett’s views on ‹as if’ intentionality and Magnani’s characterization of ‹moral mediators’. Although they demonstrate different philosophical pedigrees, I argue that these three theories can be pressed into service in defence of IE’s treatment of things. Indeed the support they lend to the (...) extension of moral status to non-human objects can be seen as part of a trend towards the accommodation of non-humans into our moral and social networks. A number of parallels are drawn between philosophical arguments over artificial intelligence and information ethics. (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)

Does the capacity to think require the capacity to sense? A lively debate on this topic runs throughout the history of philosophy and now animates discussions of artificial intelligence. Many have argued that AI systems such as large language models cannot think and understand if they lack sensory grounding. I argue that thought does not require sensory grounding: there can be pure thinkers who can think without any sensory capacities. As a result, the absence of sensory grounding does not entail (...) that large language models cannot think or understand. I also consider to what extent quasi-sensory grounding can at least boost the performance of a language model. (shrink)

While feminist critiques of AI are increasingly common in the scholarly literature, they are by no means new. Alison Adam’s Artificial Knowing (1998) brought a feminist social and epistemological stance to the analysis of AI, critiquing the symbolic AI systems of her day and proposing constructive alternatives. In this paper, we seek to revisit and renew Adam’s arguments and methodology, exploring their resonances with current feminist concerns and their relevance to contemporary machine learning. Like Adam, we ask how new AI (...) methods could be adapted for feminist purposes and what role new technologies might play in addressing concerns raised by feminist epistemologists and theorists about algorithmic systems. In particular, we highlight distributed and federated learning as providing partial solutions to the power-oriented concerns that have stymied efforts to make machine learning systems more representative and pluralist. (shrink)

Written as the introduction to a special issue of Body & Society on the topic of animation and automation, this article considers the interrelation of those two terms through readings of relevant work in film studies and science and technology studies (STS), inflected through recent scholarship on the body. Drawing upon historical and contemporary examples, we trace how movement is taken as a sign of life, while living bodies are translated through the mechanisms of artifice. Whereas film studies has drawn (...) upon work ranging from production history to semiotics and psychoanalysis to conceptualize the ways in which the appearance of life on the cinema screen materializes subjectivities beyond it, STS has developed a corpus of theoretical and empirical scholarship that works to refigure material-semiotic entanglements of subjects and objects. In approaching animation and automation through insights developed within these two fields we hope to bring them into closer dialogue with each other and with studies of the body, given the convergence of their shared concerns with affective materializations of life. More specifically, an interest in the moving capacities of animation, and in what gets rendered invisible in discourses of automation, is central to debates regarding the interdependencies of bodies and machines. Animation is always in the end a relational effect, it seems, while automation implies the continuing presence of hidden labour and care. (shrink)

“Feminicity” is the term for a predicate register that enables feminist work be accounted for as relational “active-points” that collectively can be seen through what they have achieved. But going further, it marks where those active-points contribute to the dynamic field of feminist epistemologies and where change occurs. This article contributes to my larger project’s discussion of this concept. Broadly, feminicity argues that the active-points of feminist practices need to be understood within their situated fields as materialist informatics. In the (...) digital era, examples of the affects of digital feminicity are as identified in works such as those by Wajcman ; Haraway, Hayles, VNSMatrix, Adam, Plant. Collectively, such authors and artists opened a creative, and sometimes radical discourse of the digital field as multidirectional, multidimensional, multitemporal platform of “gender actions”. Taken as a predicated field sense of the term “predicate”), this work contributes to the feminist materialist reappraisal of feminist epistemology, and larger radical feminist deconstructive projects. Thus conceived, the genealogy of digital feminicity problematizes the monopolitical terms of feminism in its collation of actions, enabling a re-situation of feminist practices as positive material interventions and expressions of the ontological constitution of the political sphere. Feminicity does not propose a chronological account of the active-points, but processually and systemically addresses the terms of generational epistemological political change. This article describes the ways in which a materialist constructed register – “feminicity”– can be used to think about encounters between the domains of gender, politics and technology, as manifested by materialist informatics. For reasons of brevity, this article focuses on just two aspects of feminicity: the terms of predication of the female as gendered, and the issue of the image, as digital informatics, comprised of activitypoints of feminist practice. Consequently, these are measurable and offer practical resources for the general problem of gendering politics that operate in governance, resource distribution and a non-equal opportunity social/cultural power structure, under which minorities are disadvantaged. Feminist practice here refers to forms produced through feminist activities, ie, forms generated through relations with the matter of life through specific modalities of needs-based practices. (shrink)

Ex-Machina and Morgan, two recent science-fiction films that deal with the creation of humanoids, also explored the relationship between artificial intelligence, spatiality and the lingering question mark regarding artificial consciousness. In both narratives, the creators of the humanoids have tried to mimic human consciousness as closely as possible, which has resulted in the imprisonment of the humanoids due to proprietary concerns in Ex-Machina and due to the violent behavior of the humanoid in Morgan. This article addresses the dilemma of whether (...) or not the humanoids in both films possess high levels of artificial consciousness and its possible consequences regarding focalization, a narrative term that presupposes subjectivity, as well as offer two new categories of posthuman focalization—X-focalization and A-focalization. The issue of captivity also has far-reaching ethical implications when considering the underlying assumption of artificial consciousness—if humanoids are indeed endowed with a subjective inner life, then they are entitled to be treated as moral agents, equivalent to humans rather than animals. (shrink)

The rise of AI-based systems has been accompanied by the belief that these systems are impartial and do not suffer from the biases that humans and older technologies express. It becomes evident, however, that gender and racial biases exist in some AI algorithms. The question is where the bias is rooted—in the training dataset or in the algorithm? Is it a linguistic issue or a broader sociological current? Works in feminist philosophy of technology and behavioral economics reveal the gender bias (...) in AI technologies as a multi-faceted phenomenon, and the linguistic explanation as too narrow. The next step moves from the linguistic aspects to the relational ones, with postphenomenology. One of the analytical tools of this theory is the “I-technology-world” formula that models our relations with technologies, and through them—with the world. Realizing that AI technologies give rise to new types of relations in which the technology has an “enhanced technological intentionality”, a new formula is suggested: “I-algorithm-dataset.” In the third part of the article, four types of solutions to the gender bias in AI are reviewed: ignoring any reference to gender, revealing the considerations that led the algorithm to decide, designing algorithms that are not biased, or lastly, involving humans in the process. In order to avoid gender bias, we can recall a feminist basic understanding—visibility matters. Users and developers should be aware of the possibility of gender and racial biases, and try to avoid them, bypass them, or exterminates them altogether. (shrink)

This paper argues that AI follows classical versions of epistemology in assuming that the identity of the knowing subject is not important. In other words this serves to `delete the subject''. This disguises an implicit hierarchy of knowers involved in the representation of knowledge in AI which privileges the perspective of those who design and build the systems over alternative perspectives. The privileged position reflects Western, professional masculinity. Alternative perspectives, denied a voice, belong to less powerful groups including women. Feminist (...) epistemology can be used to approach this from new directions, in particular, to show how women''s knowledge may be left out of consideration by AI''s focus on masculine subjects. The paper uncovers the tacitly assumed Western professional male subjects in two flagship AI systems, Cyc and Soar. (shrink)

This article deals with choice-inducing algorithms––algorithms that are explicitly designed to affect people’s choices. Based on an ethnographic account of three Israeli data analytics companies, I explore how algorithms are being designed to drive people into choice-making and examine their co-constitution by an assemblage of specifically positioned human and nonhuman agents. I show that the functioning, logic, and even ethics of choice-inducing algorithms are deeply influenced by the epistemologies, meaning systems, and practices of the individuals who devise and use them (...) and that such algorithms are similarly affected by interorganizational relationships, various nonhuman agents, and changing geopolitical contexts. I conclude by discussing the flexibility of choice-inducing algorithms and by arguing that such algorithms are not programmed to induce specific choices but to more generally convert people into choosers, and thus, to algorithmically create the modern need to choose. This article contributes to the growing literature on algorithms and culture and to our understanding of choice-making in contemporary life. At the same time, it provides a new vocabulary that offers to critically engage with algorithms and their power without losing sight of the often very specific contexts from which they arise. (shrink)

The subject of this essay is NBIC convergence (nanotechnology, biotechnology, information technology and cognitive science convergence). NBIC convergence is a recurring trope that is dominated by the paradigm of integration of the sciences. It is largely influenced by the considerations of social and economic impact, and it assumes positivism in the name of technological progress. The culture of NBIC convergence, including NBIC discourses, is ensconced on the borders between modernity/ postmodernity, ambition/restraint, unity/fragmentation, and rational intellect/creativity. Both the rhetoric of ambition (...) and visionary development, and its responding calls for some level of restraint and caution, make contrasting assumptions that, however unintentionally, further polarize the debate concerning NBIC technologies. Those engaged in producing the culture, including scientists, engineers, and ethicists of convergence, consider the ramifications of these technologies for subjectivity and identity in ways that do not fully account for the diversity of human experience, or the ambiguity of human nature. NBIC convergence, such as artificial intelligence, is a “projection of the normative self, unaware of its own specificity;” in other words, that converging technologies offer negligible insight into human corporeality or experience and, in their theoretical frameworks, are hardly conscious of the necessity of effectively mobilizing the diversity within society and of social existence in bringing about nanotechnology’s “maximum benefit to humanity,” and are part and parcel of creating a “nanoself,” bereft of uniqueness. (shrink)

The modern biomedical research laboratory is increasingly defined by dynamic social material conditions requiring researchers to traverse multiple shifting cognitive ecologies within day-to-day practice. Although the complexity of biomedical research is well known, the mechanisms by which the social and material organisation of this space is negotiated has yet to be fully considered. Integrating insights from Material Engagement Theory and Enactive Cognition with observations undertaken within a biomedical research laboratory, this paper develops an understanding of how actors are able to (...) respond to the dynamically changing world that is enacted with and around them. (shrink)

The interventionist turn in science and technology studies increasingly involves researchers with practices of technology development and thus entails the need for appropriate methodologies. Based in software engineering, this article introduces the deconstructive technique of “mind scripting” as a method for analyzing processes of the co-materialization of gender and technology and as a tool to support cooperative, reflective work practices. Anchored in critical design approaches, “mind scripting” is a means for development teams to disclose discourses implicitly guiding work practices in (...) order to make negotiable the underlying value systems. After discussing its foundation in deconstructivist feminist theory, the author illustrates how the method is applied by drawing on selected empirical results. Generating insights into the reproduction of hegemonic social discourses in development processes, “mind scripting” enables the rethinking of established ways of doing. (shrink)

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)

Meaning is important in everyday life, and each science focuses on certain ways in which reality is meaningful. This article discusses practical implications of Herman Dooyeweerd’s understanding of meaning for everyday experience, scientific theories, scientific methodology, and philosophical underpinning. It uses eight themes related to meaning in Dooyeweerd’s philosophy, which are discussed philosophically in the first article. This article ends with a case study in which the themes are applied together to understanding Thomas Kuhn’s notion of paradigms.

In this paper I discuss how feminist research focusing epistemological issues can be used within computer science. I approach and explore epistemological questions in computer science through a number of themes, which I believe are important to the issues of what knowledge is produced as well as how it is produced and how knowledge is perceived in CS. I discuss for example paradigms and metaphors in computer science, the role of abstractions and the concept of naturalisation. In order to illustrate (...) epistemological views in CS and how these can be questioned from the viewpoints of feminist epistemology, I also do a close reading and commenting of a recent book within the philosophy of computing. (shrink)

Constructive technology assessment aims at anticipating societal impacts of technological innovations and suggests incorporating reflexivity and social learning into technology development. Social learning involves fostering the ability of diverse social actors to cultivate sociotechnical critical skills, thus allowing technological and social change to be governed with consideration for social values and diverging interests. Based on this demand, our paper presents a discourse-theoretical, interventionist approach to software design introducing deconstruction and (un-)learning as reflective practices to guide development processes. Inspired by Donna (...) Haraway’s focus on power relations in technoscience culture, our approach—called ‘deconstructive design’—traces how structures such as in/formal hierarchies and discursive hegemonies affect the development processes and design decisions of teams or communities of practices. The underlying deconstructivist methodology refers to practice-based concepts of situated learning. Thus, it locates a potential for value-based intervention at the micro/meso-level of everyday work practices. (shrink)