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  1. On Arbormosis: Becoming-Cyborg, Machinic Subjection, and the Ethico-Aesthetic of User-Friendly Design.S. L. Revoy - 2018 - Deleuze and Guattari Studies 12 (4):572-593.
    This paper suggests that the imbrication of user-friendly software and the posthuman has increasingly been revealed as an intrinsically arborescent relationship, one premised upon the striation of personal information through different forms of software media and allowing for unprecedented avenues of control and subjective manipulation. My analysis begins with a conceptualisation of user-friendliness, tracing its development as the majoritarian style of software design. In assessing the effects of this process of subjective imbrication with arborescent software technology, it is suggested that (...)
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  • Artificial intelligence is an oxymoron.Jakob Svensson - 2023 - AI and Society 38 (1):363-372.
    Departing from popular imaginations around artificial intelligence (AI), this article engages in the I in the AI acronym but from perspectives outside of mathematics, computer science and machine learning. When intelligence is attended to here, it most often refers to narrow calculating tasks. This connotation to calculation provides AI an image of scientificity and objectivity, particularly attractive in societies with a pervasive desire for numbers. However, as is increasingly apparent today, when employed in more general areas of our messy socio-cultural (...)
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  • Epistemic issues in computational reproducibility: software as the elephant in the room.Alexandre Hocquet & Frédéric Wieber - 2021 - European Journal for Philosophy of Science 11 (2):1-20.
    Computational reproducibility possesses its own dynamics and narratives of crisis. Alongside the difficulties of computing as an ubiquitous yet complex scientific activity, computational reproducibility suffers from a naive expectancy of total reproducibility and a moral imperative to embrace the principles of free software as a non-negotiable epistemic virtue. We argue that the epistemic issues at stake in actual practices of computational reproducibility are best unveiled by focusing on software as a pivotal concept, one that is surprisingly often overlooked in accounts (...)
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  • Using Ethical Reasoning to Amplify the Reach and Resonance of Professional Codes of Conduct in Training Big Data Scientists.Rochelle E. Tractenberg, Andrew J. Russell, Gregory J. Morgan, Kevin T. FitzGerald, Jeff Collmann, Lee Vinsel, Michael Steinmann & Lisa M. Dolling - 2015 - Science and Engineering Ethics 21 (6):1485-1507.
    The use of Big Data—however the term is defined—involves a wide array of issues and stakeholders, thereby increasing numbers of complex decisions around issues including data acquisition, use, and sharing. Big Data is becoming a significant component of practice in an ever-increasing range of disciplines; however, since it is not a coherent “discipline” itself, specific codes of conduct for Big Data users and researchers do not exist. While many institutions have created, or will create, training opportunities to prepare people to (...)
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  • Educating the smart city: Schooling smart citizens through computational urbanism.Ben Williamson - 2015 - Big Data and Society 2 (2).
    Coupled with the ‘smart city’, the idea of the ‘smart school’ is emerging in imaginings of the future of education. Various commercial, governmental and civil society organizations now envisage education as a highly coded, software-mediated and data-driven social institution. Such spaces are to be governed through computational processes written in computer code and tracked through big data. In an original analysis of developments from commercial, governmental and civil society sectors, the article examines two interrelated dimensions of an emerging smart schools (...)
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  • When Logic Meets Engineering: Introduction to Logical Issues in the History and Philosophy of Computer Science.Liesbeth De Mol & Giuseppe Primiero - 2015 - History and Philosophy of Logic 36 (3):195-204.
    The birth, growth, stabilization and subsequent understanding of a new field of practical and theoretical enquiry is always a conceptual process including several typologies of events, phenomena an...
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  • Computers and Computing in Society.Valérie Schafer - 2020 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 28 (2):267-278.
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  • The locus of legitimate interpretation in Big Data sciences: Lessons for computational social science from -omic biology and high-energy physics.Neil Stephens, Luis Reyes-Galindo, Jamie Lewis & Andrew Bartlett - 2018 - Big Data and Society 5 (1).
    This paper argues that analyses of the ways in which Big Data has been enacted in other academic disciplines can provide us with concepts that will help understand the application of Big Data to social questions. We use examples drawn from our Science and Technology Studies analyses of -omic biology and high energy physics to demonstrate the utility of three theoretical concepts: primary and secondary inscriptions, crafted and found data, and the locus of legitimate interpretation. These help us to show (...)
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  • The gates to the profession are open: the alternative institutionalization of data science.Netta Avnoon - 2024 - Theory and Society 53 (2):239-271.
    In this study, I examine the institutional model of data science as a nascent profession undergoing an occupational founding phase. Drawing on interviews with sixty data scientists, senior managers, and professors from Israel as well as observations at the local professional community’s events, I argue that data scientists endorse an open institutional model, upholding largely internet-based institutions focusing on knowledge sharing, networking, and collaboration. This model grants data scientists expertise, autonomy, and authority vis-à-vis clients, employers, and states; provides them with (...)
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  • Girls Who Coded: Gender in Twentieth Century U.K. and U.S. Computing. [REVIEW]Kate M. Miltner - 2019 - Science, Technology, and Human Values 44 (1):161-176.
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  • Gender blindness: On health and welfare technology, AI and gender equality in community care.Susanne Frennert - 2021 - Nursing Inquiry 28 (4):e12419.
    Digital health and welfare technologies and artificial intelligence are proposed to revolutionise healthcare systems around the world by enabling new models of care. Digital health and welfare technologies enable remote monitoring and treatments, and artificial intelligence is proposed as a means of prediction instead of reaction to individuals’ health and as an enabler of proactive care and rehabilitation. The digital transformation not only affects hospital and primary care but also how the community meets older people's needs. Community care is often (...)
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